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Josephine Wolff; How Is Technology Changing the World, and How Should the World Change Technology?. Global Perspectives 1 February 2021; 2 (1): 27353. doi: https://doi.org/10.1525/gp.2021.27353

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Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019) .

This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders.

These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.

Technology can be a source of tremendous optimism. It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942) . But it can also be a tool of tremendous fear and oppression, embedding biases in automated decision-making processes and information-processing algorithms, exacerbating economic and social inequalities within and between countries to a staggering degree, or creating new weapons and avenues for attack unlike any we have had to face in the past. Scholars have even contended that the emergence of the term technology in the nineteenth and twentieth centuries marked a shift from viewing individual pieces of machinery as a means to achieving political and social progress to the more dangerous, or hazardous, view that larger-scale, more complex technological systems were a semiautonomous form of progress in and of themselves (Marx 2010) . More recently, technologists have sharply criticized what they view as a wave of new Luddites, people intent on slowing the development of technology and turning back the clock on innovation as a means of mitigating the societal impacts of technological change (Marlowe 1970) .

At the heart of fights over new technologies and their resulting global changes are often two conflicting visions of technology: a fundamentally optimistic one that believes humans use it as a tool to achieve greater goals, and a fundamentally pessimistic one that holds that technological systems have reached a point beyond our control. Technology philosophers have argued that neither of these views is wholly accurate and that a purely optimistic or pessimistic view of technology is insufficient to capture the nuances and complexity of our relationship to technology (Oberdiek and Tiles 1995) . Understanding technology and how we can make better decisions about designing, deploying, and refining it requires capturing that nuance and complexity through in-depth analysis of the impacts of different technological advancements and the ways they have played out in all their complicated and controversial messiness across the world.

These impacts are often unpredictable as technologies are adopted in new contexts and come to be used in ways that sometimes diverge significantly from the use cases envisioned by their designers. The internet, designed to help transmit information between computer networks, became a crucial vehicle for commerce, introducing unexpected avenues for crime and financial fraud. Social media platforms like Facebook and Twitter, designed to connect friends and families through sharing photographs and life updates, became focal points of election controversies and political influence. Cryptocurrencies, originally intended as a means of decentralized digital cash, have become a significant environmental hazard as more and more computing resources are devoted to mining these forms of virtual money. One of the crucial challenges in this area is therefore recognizing, documenting, and even anticipating some of these unexpected consequences and providing mechanisms to technologists for how to think through the impacts of their work, as well as possible other paths to different outcomes (Verbeek 2006) . And just as technological innovations can cause unexpected harm, they can also bring about extraordinary benefits—new vaccines and medicines to address global pandemics and save thousands of lives, new sources of energy that can drastically reduce emissions and help combat climate change, new modes of education that can reach people who would otherwise have no access to schooling. Regulating technology therefore requires a careful balance of mitigating risks without overly restricting potentially beneficial innovations.

Nations around the world have taken very different approaches to governing emerging technologies and have adopted a range of different technologies themselves in pursuit of more modern governance structures and processes (Braman 2009) . In Europe, the precautionary principle has guided much more anticipatory regulation aimed at addressing the risks presented by technologies even before they are fully realized. For instance, the European Union’s General Data Protection Regulation focuses on the responsibilities of data controllers and processors to provide individuals with access to their data and information about how that data is being used not just as a means of addressing existing security and privacy threats, such as data breaches, but also to protect against future developments and uses of that data for artificial intelligence and automated decision-making purposes. In Germany, Technische Überwachungsvereine, or TÜVs, perform regular tests and inspections of technological systems to assess and minimize risks over time, as the tech landscape evolves. In the United States, by contrast, there is much greater reliance on litigation and liability regimes to address safety and security failings after-the-fact. These different approaches reflect not just the different legal and regulatory mechanisms and philosophies of different nations but also the different ways those nations prioritize rapid development of the technology industry versus safety, security, and individual control. Typically, governance innovations move much more slowly than technological innovations, and regulations can lag years, or even decades, behind the technologies they aim to govern.

In addition to this varied set of national regulatory approaches, a variety of international and nongovernmental organizations also contribute to the process of developing standards, rules, and norms for new technologies, including the International Organization for Standardization­ and the International Telecommunication Union. These multilateral and NGO actors play an especially important role in trying to define appropriate boundaries for the use of new technologies by governments as instruments of control for the state.

At the same time that policymakers are under scrutiny both for their decisions about how to regulate technology as well as their decisions about how and when to adopt technologies like facial recognition themselves, technology firms and designers have also come under increasing criticism. Growing recognition that the design of technologies can have far-reaching social and political implications means that there is more pressure on technologists to take into consideration the consequences of their decisions early on in the design process (Vincenti 1993; Winner 1980) . The question of how technologists should incorporate these social dimensions into their design and development processes is an old one, and debate on these issues dates back to the 1970s, but it remains an urgent and often overlooked part of the puzzle because so many of the supposedly systematic mechanisms for assessing the impacts of new technologies in both the private and public sectors are primarily bureaucratic, symbolic processes rather than carrying any real weight or influence.

Technologists are often ill-equipped or unwilling to respond to the sorts of social problems that their creations have—often unwittingly—exacerbated, and instead point to governments and lawmakers to address those problems (Zuckerberg 2019) . But governments often have few incentives to engage in this area. This is because setting clear standards and rules for an ever-evolving technological landscape can be extremely challenging, because enforcement of those rules can be a significant undertaking requiring considerable expertise, and because the tech sector is a major source of jobs and revenue for many countries that may fear losing those benefits if they constrain companies too much. This indicates not just a need for clearer incentives and better policies for both private- and public-sector entities but also a need for new mechanisms whereby the technology development and design process can be influenced and assessed by people with a wider range of experiences and expertise. If we want technologies to be designed with an eye to their impacts, who is responsible for predicting, measuring, and mitigating those impacts throughout the design process? Involving policymakers in that process in a more meaningful way will also require training them to have the analytic and technical capacity to more fully engage with technologists and understand more fully the implications of their decisions.

At the same time that tech companies seem unwilling or unable to rein in their creations, many also fear they wield too much power, in some cases all but replacing governments and international organizations in their ability to make decisions that affect millions of people worldwide and control access to information, platforms, and audiences (Kilovaty 2020) . Regulators around the world have begun considering whether some of these companies have become so powerful that they violate the tenets of antitrust laws, but it can be difficult for governments to identify exactly what those violations are, especially in the context of an industry where the largest players often provide their customers with free services. And the platforms and services developed by tech companies are often wielded most powerfully and dangerously not directly by their private-sector creators and operators but instead by states themselves for widespread misinformation campaigns that serve political purposes (Nye 2018) .

Since the largest private entities in the tech sector operate in many countries, they are often better poised to implement global changes to the technological ecosystem than individual states or regulatory bodies, creating new challenges to existing governance structures and hierarchies. Just as it can be challenging to provide oversight for government use of technologies, so, too, oversight of the biggest tech companies, which have more resources, reach, and power than many nations, can prove to be a daunting task. The rise of network forms of organization and the growing gig economy have added to these challenges, making it even harder for regulators to fully address the breadth of these companies’ operations (Powell 1990) . The private-public partnerships that have emerged around energy, transportation, medical, and cyber technologies further complicate this picture, blurring the line between the public and private sectors and raising critical questions about the role of each in providing critical infrastructure, health care, and security. How can and should private tech companies operating in these different sectors be governed, and what types of influence do they exert over regulators? How feasible are different policy proposals aimed at technological innovation, and what potential unintended consequences might they have?

Conflict between countries has also spilled over significantly into the private sector in recent years, most notably in the case of tensions between the United States and China over which technologies developed in each country will be permitted by the other and which will be purchased by other customers, outside those two countries. Countries competing to develop the best technology is not a new phenomenon, but the current conflicts have major international ramifications and will influence the infrastructure that is installed and used around the world for years to come. Untangling the different factors that feed into these tussles as well as whom they benefit and whom they leave at a disadvantage is crucial for understanding how governments can most effectively foster technological innovation and invention domestically as well as the global consequences of those efforts. As much of the world is forced to choose between buying technology from the United States or from China, how should we understand the long-term impacts of those choices and the options available to people in countries without robust domestic tech industries? Does the global spread of technologies help fuel further innovation in countries with smaller tech markets, or does it reinforce the dominance of the states that are already most prominent in this sector? How can research universities maintain global collaborations and research communities in light of these national competitions, and what role does government research and development spending play in fostering innovation within its own borders and worldwide? How should intellectual property protections evolve to meet the demands of the technology industry, and how can those protections be enforced globally?

These conflicts between countries sometimes appear to challenge the feasibility of truly global technologies and networks that operate across all countries through standardized protocols and design features. Organizations like the International Organization for Standardization, the World Intellectual Property Organization, the United Nations Industrial Development Organization, and many others have tried to harmonize these policies and protocols across different countries for years, but have met with limited success when it comes to resolving the issues of greatest tension and disagreement among nations. For technology to operate in a global environment, there is a need for a much greater degree of coordination among countries and the development of common standards and norms, but governments continue to struggle to agree not just on those norms themselves but even the appropriate venue and processes for developing them. Without greater global cooperation, is it possible to maintain a global network like the internet or to promote the spread of new technologies around the world to address challenges of sustainability? What might help incentivize that cooperation moving forward, and what could new structures and process for governance of global technologies look like? Why has the tech industry’s self-regulation culture persisted? Do the same traditional drivers for public policy, such as politics of harmonization and path dependency in policy-making, still sufficiently explain policy outcomes in this space? As new technologies and their applications spread across the globe in uneven ways, how and when do they create forces of change from unexpected places?

These are some of the questions that we hope to address in the Technology and Global Change section through articles that tackle new dimensions of the global landscape of designing, developing, deploying, and assessing new technologies to address major challenges the world faces. Understanding these processes requires synthesizing knowledge from a range of different fields, including sociology, political science, economics, and history, as well as technical fields such as engineering, climate science, and computer science. A crucial part of understanding how technology has created global change and, in turn, how global changes have influenced the development of new technologies is understanding the technologies themselves in all their richness and complexity—how they work, the limits of what they can do, what they were designed to do, how they are actually used. Just as technologies themselves are becoming more complicated, so are their embeddings and relationships to the larger social, political, and legal contexts in which they exist. Scholars across all disciplines are encouraged to join us in untangling those complexities.

Josephine Wolff is an associate professor of cybersecurity policy at the Fletcher School of Law and Diplomacy at Tufts University. Her book You’ll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches was published by MIT Press in 2018.

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Feb 13, 2023

200-500 Word Example Essays about Technology

Got an essay assignment about technology check out these examples to inspire you.

Technology is a rapidly evolving field that has completely changed the way we live, work, and interact with one another. Technology has profoundly impacted our daily lives, from how we communicate with friends and family to how we access information and complete tasks. As a result, it's no surprise that technology is a popular topic for students writing essays.

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This blog post aims to provide readers with various example essays on technology, all generated by Jenni.ai. These essays will be a valuable resource for students looking for inspiration or guidance as they work on their essays. By reading through these example essays, students can better understand how technology can be approached and discussed in an essay.

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The Impact of Technology on Society and Culture

Introduction:.

Technology has become an integral part of our daily lives and has dramatically impacted how we interact, communicate, and carry out various activities. Technological advancements have brought positive and negative changes to society and culture. In this article, we will explore the impact of technology on society and culture and how it has influenced different aspects of our lives.

Positive impact on communication:

Technology has dramatically improved communication and made it easier for people to connect from anywhere in the world. Social media platforms, instant messaging, and video conferencing have brought people closer, bridging geographical distances and cultural differences. This has made it easier for people to share information, exchange ideas, and collaborate on projects.

Positive impact on education:

Students and instructors now have access to a multitude of knowledge and resources because of the effect of technology on education . Students may now study at their speed and from any location thanks to online learning platforms, educational applications, and digital textbooks.

Negative impact on critical thinking and creativity:

Technological advancements have resulted in a reduction in critical thinking and creativity. With so much information at our fingertips, individuals have become more passive in their learning, relying on the internet for solutions rather than logic and inventiveness. As a result, independent thinking and problem-solving abilities have declined.

Positive impact on entertainment:

Technology has transformed how we access and consume entertainment. People may now access a wide range of entertainment alternatives from the comfort of their own homes thanks to streaming services, gaming platforms, and online content makers. The entertainment business has entered a new age of creativity and invention as a result of this.

Negative impact on attention span:

However, the continual bombardment of information and technological stimulation has also reduced attention span and the capacity to focus. People are easily distracted and need help focusing on a single activity for a long time. This has hampered productivity and the ability to accomplish duties.

The Ethics of Artificial Intelligence And Machine Learning

The development of artificial intelligence (AI) and machine learning (ML) technologies has been one of the most significant technological developments of the past several decades. These cutting-edge technologies have the potential to alter several sectors of society, including commerce, industry, healthcare, and entertainment. 

As with any new and quickly advancing technology, AI and ML ethics must be carefully studied. The usage of these technologies presents significant concerns around privacy, accountability, and command. As the use of AI and ML grows more ubiquitous, we must assess their possible influence on society and investigate the ethical issues that must be taken into account as these technologies continue to develop.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence is the simulation of human intelligence in machines designed to think and act like humans. Machine learning is a subfield of AI that enables computers to learn from data and improve their performance over time without being explicitly programmed.

The impact of AI and ML on Society

The use of AI and ML in various industries, such as healthcare, finance, and retail, has brought many benefits. For example, AI-powered medical diagnosis systems can identify diseases faster and more accurately than human doctors. However, there are also concerns about job displacement and the potential for AI to perpetuate societal biases.

The Ethical Considerations of AI and ML

A. Bias in AI algorithms

One of the critical ethical concerns about AI and ML is the potential for algorithms to perpetuate existing biases. This can occur if the data used to train these algorithms reflects the preferences of the people who created it. As a result, AI systems can perpetuate these biases and discriminate against certain groups of people.

B. Responsibility for AI-generated decisions

Another ethical concern is the responsibility for decisions made by AI systems. For example, who is responsible for the damage if a self-driving car causes an accident? The manufacturer of the vehicle, the software developer, or the AI algorithm itself?

C. The potential for misuse of AI and ML

AI and ML can also be used for malicious purposes, such as cyberattacks and misinformation. The need for more regulation and oversight in developing and using these technologies makes it difficult to prevent misuse.

The developments in AI and ML have given numerous benefits to humanity, but they also present significant ethical concerns that must be addressed. We must assess the repercussions of new technologies on society, implement methods to limit the associated dangers, and guarantee that they are utilized for the greater good. As AI and ML continue to play an ever-increasing role in our daily lives, we must engage in an open and frank discussion regarding their ethics.

The Future of Work And Automation

Rapid technological breakthroughs in recent years have brought about considerable changes in our way of life and work. Concerns regarding the influence of artificial intelligence and machine learning on the future of work and employment have increased alongside the development of these technologies. This article will examine the possible advantages and disadvantages of automation and its influence on the labor market, employees, and the economy.

The Advantages of Automation

Automation in the workplace offers various benefits, including higher efficiency and production, fewer mistakes, and enhanced precision. Automated processes may accomplish repetitive jobs quickly and precisely, allowing employees to concentrate on more complex and creative activities. Additionally, automation may save organizations money since it removes the need to pay for labor and minimizes the danger of workplace accidents.

The Potential Disadvantages of Automation

However, automation has significant disadvantages, including job loss and income stagnation. As robots and computers replace human labor in particular industries, there is a danger that many workers may lose their jobs, resulting in higher unemployment and more significant economic disparity. Moreover, if automation is not adequately regulated and managed, it might lead to stagnant wages and a deterioration in employees' standard of life.

The Future of Work and Automation

Despite these difficulties, automation will likely influence how labor is done. As a result, firms, employees, and governments must take early measures to solve possible issues and reap the rewards of automation. This might entail funding worker retraining programs, enhancing education and skill development, and implementing regulations that support equality and justice at work.

IV. The Need for Ethical Considerations

We must consider the ethical ramifications of automation and its effects on society as technology develops. The impact on employees and their rights, possible hazards to privacy and security, and the duty of corporations and governments to ensure that automation is utilized responsibly and ethically are all factors to be taken into account.

Conclusion:

To summarise, the future of employment and automation will most certainly be defined by a complex interaction of technological advances, economic trends, and cultural ideals. All stakeholders must work together to handle the problems and possibilities presented by automation and ensure that technology is employed to benefit society as a whole.

The Role of Technology in Education

Introduction.

Nearly every part of our lives has been transformed by technology, and education is no different. Today's students have greater access to knowledge, opportunities, and resources than ever before, and technology is becoming a more significant part of their educational experience. Technology is transforming how we think about education and creating new opportunities for learners of all ages, from online courses and virtual classrooms to instructional applications and augmented reality.

Technology's Benefits for Education

The capacity to tailor learning is one of technology's most significant benefits in education. Students may customize their education to meet their unique needs and interests since they can access online information and tools. 

For instance, people can enroll in online classes on topics they are interested in, get tailored feedback on their work, and engage in virtual discussions with peers and subject matter experts worldwide. As a result, pupils are better able to acquire and develop the abilities and information necessary for success.

Challenges and Concerns

Despite the numerous advantages of technology in education, there are also obstacles and considerations to consider. One issue is the growing reliance on technology and the possibility that pupils would become overly dependent on it. This might result in a lack of critical thinking and problem-solving abilities, as students may become passive learners who only follow instructions and rely on technology to complete their assignments.

Another obstacle is the digital divide between those who have access to technology and those who do not. This division can exacerbate the achievement gap between pupils and produce uneven educational and professional growth chances. To reduce these consequences, all students must have access to the technology and resources necessary for success.

In conclusion, technology is rapidly becoming an integral part of the classroom experience and has the potential to alter the way we learn radically. 

Technology can help students flourish and realize their full potential by giving them access to individualized instruction, tools, and opportunities. While the benefits of technology in the classroom are undeniable, it's crucial to be mindful of the risks and take precautions to guarantee that all kids have access to the tools they need to thrive.

The Influence of Technology On Personal Relationships And Communication 

Technological advancements have profoundly altered how individuals connect and exchange information. It has changed the world in many ways in only a few decades. Because of the rise of the internet and various social media sites, maintaining relationships with people from all walks of life is now simpler than ever. 

However, concerns about how these developments may affect interpersonal connections and dialogue are inevitable in an era of rapid technological growth. In this piece, we'll discuss how the prevalence of digital media has altered our interpersonal connections and the language we use to express ourselves.

Direct Effect on Direct Interaction:

The disruption of face-to-face communication is a particularly stark example of how technology has impacted human connections. The quality of interpersonal connections has suffered due to people's growing preference for digital over human communication. Technology has been demonstrated to reduce the usage of nonverbal signs such as facial expressions, tone of voice, and other indicators of emotional investment in the connection.

Positive Impact on Long-Distance Relationships:

Yet there are positives to be found as well. Long-distance relationships have also benefited from technological advancements. The development of technologies such as video conferencing, instant messaging, and social media has made it possible for individuals to keep in touch with distant loved ones. It has become simpler for individuals to stay in touch and feel connected despite geographical distance.

The Effects of Social Media on Personal Connections:

The widespread use of social media has had far-reaching consequences, especially on the quality of interpersonal interactions. Social media has positive and harmful effects on relationships since it allows people to keep in touch and share life's milestones.

Unfortunately, social media has made it all too easy to compare oneself to others, which may lead to emotions of jealousy and a general decline in confidence. Furthermore, social media might cause people to have inflated expectations of themselves and their relationships.

A Personal Perspective on the Intersection of Technology and Romance

Technological advancements have also altered physical touch and closeness. Virtual reality and other technologies have allowed people to feel physical contact and familiarity in a digital setting. This might be a promising breakthrough, but it has some potential downsides. 

Experts are concerned that people's growing dependence on technology for intimacy may lead to less time spent communicating face-to-face and less emphasis on physical contact, both of which are important for maintaining good relationships.

In conclusion, technological advancements have significantly affected the quality of interpersonal connections and the exchange of information. Even though technology has made it simpler to maintain personal relationships, it has chilled interpersonal interactions between people. 

Keeping tabs on how technology is changing our lives and making adjustments as necessary is essential as we move forward. Boundaries and prioritizing in-person conversation and physical touch in close relationships may help reduce the harm it causes.

The Security and Privacy Implications of Increased Technology Use and Data Collection

The fast development of technology over the past few decades has made its way into every aspect of our life. Technology has improved many facets of our life, from communication to commerce. However, significant privacy and security problems have emerged due to the broad adoption of technology. In this essay, we'll look at how the widespread use of technological solutions and the subsequent explosion in collected data affects our right to privacy and security.

Data Mining and Privacy Concerns

Risk of Cyber Attacks and Data Loss

The Widespread Use of Encryption and Other Safety Mechanisms

The Privacy and Security of the Future in a Globalized Information Age

Obtaining and Using Individual Information

The acquisition and use of private information is a significant cause for privacy alarm in the digital age. Data about their customers' online habits, interests, and personal information is a valuable commodity for many internet firms. Besides tailored advertising, this information may be used for other, less desirable things like identity theft or cyber assaults.

Moreover, many individuals need to be made aware of what data is being gathered from them or how it is being utilized because of the lack of transparency around gathering personal information. Privacy and data security have become increasingly contentious as a result.

Data breaches and other forms of cyber-attack pose a severe risk.

The risk of cyber assaults and data breaches is another big issue of worry. More people are using more devices, which means more opportunities for cybercriminals to steal private information like credit card numbers and other identifying data. This may cause monetary damages and harm one's reputation or identity.

Many high-profile data breaches have occurred in recent years, exposing the personal information of millions of individuals and raising serious concerns about the safety of this information. Companies and governments have responded to this problem by adopting new security methods like encryption and multi-factor authentication.

Many businesses now use encryption and other security measures to protect themselves from cybercriminals and data thieves. Encryption keeps sensitive information hidden by encoding it so that only those possessing the corresponding key can decipher it. This prevents private information like bank account numbers or social security numbers from falling into the wrong hands.

Firewalls, virus scanners, and two-factor authentication are all additional security precautions that may be used with encryption. While these safeguards do much to stave against cyber assaults, they are not entirely impregnable, and data breaches are still possible.

The Future of Privacy and Security in a Technologically Advanced World

There's little doubt that concerns about privacy and security will persist even as technology improves. There must be strict safeguards to secure people's private information as more and more of it is transferred and kept digitally. To achieve this goal, it may be necessary to implement novel technologies and heightened levels of protection and to revise the rules and regulations regulating the collection and storage of private information.

Individuals and businesses are understandably concerned about the security and privacy consequences of widespread technological use and data collecting. There are numerous obstacles to overcome in a society where technology plays an increasingly important role, from acquiring and using personal data to the risk of cyber-attacks and data breaches. Companies and governments must keep spending money on security measures and working to educate people about the significance of privacy and security if personal data is to remain safe.

In conclusion, technology has profoundly impacted virtually every aspect of our lives, including society and culture, ethics, work, education, personal relationships, and security and privacy. The rise of artificial intelligence and machine learning has presented new ethical considerations, while automation is transforming the future of work. 

In education, technology has revolutionized the way we learn and access information. At the same time, our dependence on technology has brought new challenges in terms of personal relationships, communication, security, and privacy.

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Home — Essay Samples — Information Science and Technology — Impact of Technology — The Influence of Technology on the World

The Influence of Technology on The World

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In this new era of globalization, the technologies are an ever-changing aspect of this day and age. New gadgets and many new and fresh ideas are always trying to makes life’s easier than before and bring people closer together. [...]

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The Impact of Digital Technologies

Technologies can help make our world fairer, more peaceful, and more just. Digital advances can support and accelerate achievement of each of the 17 Sustainable Development Goals – from ending extreme poverty to reducing maternal and infant mortality, promoting sustainable farming and decent work, and achieving universal literacy. But technologies can also threaten privacy, erode security and fuel inequality. They have implications for human rights and human agency. Like generations before, we – governments, businesses and individuals – have a choice to make in how we harness and manage new technologies.

A DIGITAL FUTURE FOR ALL?

Digital technologies have advanced more rapidly than any innovation in our history – reaching around 50 per cent of the developing world’s population in only two decades and transforming societies. By enhancing connectivity, financial inclusion, access to trade and public services, technology can be a great equaliser.

In the health sector, for instance, AI-enabled frontier technologies are helping to save lives, diagnose diseases and extend life expectancy. In education, virtual learning environments and distance learning have opened up programmes to students who would otherwise be excluded. Public services are also becoming more accessible and accountable through blockchain-powered systems, and less bureaucratically burdensome as a result of AI assistance.Big data can also support more responsive and accurate policies and programmes.

However, those yet to be connected remain cut off from the benefits of this new era and remain further behind. Many of the people left behind are women, the elderly, persons with disabilities or from ethnic or linguistic minorities, indigenous groups and residents of poor or remote areas. The pace of connectivity is slowing, even reversing, among some constituencies. For example, globally, the proportion of women using the internet is 12 per cent lower than that of men. While this gap narrowed in most regions between 2013 and 2017, it widened in the least developed countries from 30 per cent to 33 per cent.

The use of algorithms can replicate and even amplify human and systemic bias where they function on the basis of data which is not adequately diverse. Lack of diversity in the technology sector can mean that this challenge is not adequately addressed.

THE FUTURE OF WORK

Throughout history, technological revolutions have changed the labour force: creating new forms and patterns of work, making others obsolete, and leading to wider societal changes. This current wave of change is likely to have profound impacts. For example, the International Labour Organization estimates that the shift to a greener economy could create 24 million new jobs globally by 2030 through the adoption of sustainable practices in the energy sector, the use of electric vehicles and increasing energy efficiency in existing and future buildings.

Meanwhile, reports by groups such as McKinsey suggest that 800 million people could lose their jobs to automation by 2030 , while polls reveal that the majority of all employees worry that they do not have the necessary training or skills to get a well-paid job.

There is broad agreement that managing these trends will require changes in our approach to education, for instance, by placing more emphasis on science, technology, engineering, and maths; by teaching soft skills, and resilience; and by ensuring that people can re-skill and up-skill throughout their lifetimes. Unpaid work, for example childcare and elderly care in the home, will need to be better supported, especially as with the shifting age profile of global populations, the demands on these tasks are likely to increase.

THE FUTURE OF DATA

Today, digital technologies such as data pooling and AI are used to track and diagnose issues in agriculture, health, and the environment, or to perform daily tasks such as navigating traffic or paying a bill. They can be used to defend and exercise human rights – but they can also be used to violate them, for example, by monitoring our movements, purchases, conversations and behaviours. Governments and businesses increasingly have the tools to mine and exploit data for financial and other purposes.

However, personal data would become an asset to a person, if there were a formula for better regulation of personal data ownership. Data-powered technology has the potential to empower individuals, improve human welfare, and promote universal rights, depending on the type of protections put in place.

THE FUTURE OF SOCIAL MEDIA

Social media connects almost half of the entire global population . It enables people to make their voices heard and to talk to people across the world in real time. However, it can also reinforce prejudices and sow discord, by giving hate speech and misinformation a platform, or by amplifying echo chambers.

In this way, social media algorithms can fuel the fragmentation of societies around the world. And yet they also have the potential to do the opposite.

THE FUTURE OF CYBERSPACE

How to manage these developments is the subject of much discussion – nationally and internationally – at a time when geopolitical tensions are on the rise. The UN Secretary-General has warned of a ‘great fracture’ between world powers, each with their own internet and AI strategy, as well as dominant currency, trade and financial rules and contradictory geopolitical and military views. Such a divide could establish a digital Berlin Wall. Increasingly, digital cooperation between states – and a universal cyberspace that reflects global standards for peace and security, human rights and sustainable development – is seen as crucial to ensuring a united world. A ‘global commitment for digital cooperation’ is a key recommendation by the Secretary-General’s High-level Panel on Digital Cooperation .

FOR MORE INFORMATION

The Sustainable Development Goals

The Age of Digital Interdependence: Report of the UN Secretary-General’s High-level Panel on Digital Cooperation

ILO | Global Commission on the Future of Work

Secretary General’s Address to the 74th Session of the UN General Assembly

Secretary General’s Strategy on New Technology

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Free How Technology Has Changed Our Lives Essay Sample

Type of paper: Essay

Topic: Technology , Internet , Information , Computers , Society , World , Food , Life

Words: 1600

Published: 02/24/2020

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Introduction

Technology is a small word that has made huge impacts on our lives. Without even noticing, we use technology in many ways. It has somehow affected every single living organism on this planet. And with the many recently developments, the pace of the boom in technology has risen too. From the start of scientific discoveries till today, the human race has seen so many changes that it is uncountable. Electricity is said to be discovered in the early 18th century. Then Einstein’s theories of relativity changed the whole perspective in the 19 century.

But how exactly has technology impacted us today? What changes has it made in our lives today? Has it proven to be better to be technologically civilized? Or have we made the wrong decision and inevitably going towards our doom? Today we have contrasting opinions on what the impact of technology has done to our society and generation. There are countless positive effects but at the same time we are now experiencing many negative effects of technology as well. This How technology has changed our lives essay is devoted to those questions.

The Positive Ways How Technology has Changed Our Lives

If we take a glance around us, we see many things that are available to us only because of technology. In almost every place we go, we find light and electricity. We see electronic devices that have made work easier for us humans. Just by pressing a button our dishes are washed, our clothes are washed and our food is heated. Because of technology, pour homes are warm and cozy in the winters and cool and breezy in the summers. Because of electronic; technology, we now have refrigerators to store our food so that we can use it for longer periods of time.

Talking about food, there has also been a huge development advancement in the chemical and food industry. Scientists have come up with great preservatives and methods that are used to keep food safe and give them a longer shelf life. Even milk can be stored for months. Hi tech purification plants are now being used to purify milk in an automatic way so that the vitamins and mineral are not wasted whereas all the harmful bacteria are removed. Similar water purification plants and systems have made it easier for most people to have access to cleaner better water.

Then there is the field of logistics and aviation that has been influenced by technology very much. In the past centuries, ships were the only means of transport to other areas of the world. Now we have a great aviation system that can take you to any corner of the world with ease. Air travel is considered to be the safest travelling mode till date. The field of logistics deals with the delivery of goods and packages across the world. The technological advancement in aviation has given boom to this industry as well. Now businesses can easily expand their businesses worldwide and ship their products to the customers without any hassle.

In today’s society the one invention that has the biggest impact on our society and which has totally changed the way we work, think and process is the computer technology and internet. Computers have made processing so simple and fast. Also, when the invention was first made, a single computer needed many acres of space. However, now a computer can be as small as a palm. With the automation of many programs, we have now fewer chances of errors. The internet has provided humans across the planet with unlimited amount of information. We now have access to tons and tons of the latest research and developments. Digital information has not only given us access to new information but that information is used constructively to develop new theories and technologies.

The internet has changed the lives of many people around the world by offering the fastest communication modes thinkable. A picture, letter can be sent to your loved one in just seconds. With the help of technology people have become so close to their friends and families living abroad. Internet has also changes the lives of many people by offering many job opportunities that we could not even think of before internet. Outsourcing your work is made more convenient with the technological advancement of the internet.

When we see how doctors and physicians have made use of technology and completely altered it, we are dumbstruck. Doctors sitting thousands of miles away can control robotic arms to perform surgeries and procedures on patients. Residents take help in the same way from their mentors during difficult procedures. Also, if any groundbreaking surgery is being performed, it is telecasted live through the internet so that doctors around the world can learn the latest discovery in the field of medicine. The drugs are also developed after more research and testing which makes them more effective.

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The Negative Ways How Technology has Changed Our Lives

In almost every sector of our lives, technology has a huge impact not only on the society but on a personal level. But there is the side of the coin as well. While we cannot count the many bounties of technology, there are a few negative ways that it has influenced us.

The biggest drawback of technology is that it is starting to take a toll on our health. With the excessive use of technology designed to make our lives easier, it has been noted that our body is beginning to show signs of retirement. The body has been designed to perform well under pressure. It starts to jam up if it is not used positively. If all our daily work chores are being done by technological devices, then we spend the day switching the television channels. Technology use is directly being linked to harmful diseases like obesity, diabetes, stress, depression, fatigue, cancer and much more.

Our children no longer need parks and recreational centers to spend their time. A single computer or mobile phone is all they ask for. Internet has made us closer to the digital global community but is taking us far from our family living in the same house and our next door neighbors. Research has shown that internet has also made today’s society in able to made conversation face-to-face. They are comfortable being online and hiding behind fake identities but presenting themselves in person is becoming hard. Also, with the excessive amounts of information, there is no check or balance. Information travels at the speed of light. It is hard to differentiate the right from the wrong. Students are more inclined towards plagiarism, cheating and other unethical practices. Technology is teaching them to find a shortcut.

Pornography and unethical content is easily accessible to anyone having access to the internet. Without the implementation of strict regulations and consequences from the government, the society will continue to drown in the ocean of unmonitored information.

Being technologically civilized is also affecting the environment which in a way affects the society. Our factories, plants, transportation means all emit harmful gases into the atmosphere that will have a huge negative impact on us. More and more natural resources are being used up fast to accommodate for the excessive needs of humans of this century. As much as we had invented technology to help us, it can now be felt that the society is being controlled by technology.

There is no doubt that technology affects us no matter what our status symbol is, it does no care what country, race or age I belong to. At one corner, technology is coming up with newer and faster ways to save lives while in the other corner; technology has enabled people to make more destructive bombs and guns.

The level of impact that technology has on the society and an individual can vary and depends on how strong regulations are administered. There is a need to balance the use of technology so that it helps your life become easier without having any negative effects. Technology has helped us reach the stars. This clearly shows that that there are no bounds to where technology can take us and what it can do. It is important to regulate advancements in technology. It should be made sure that it is beneficial to the human race and will not be a threat to our future generations.

Works Cited

Computer Fix Made Easy. "10 Advantages of Using the Internet." 2011. Computer Fix Made Easy. 7 December 2013 <http://www.computer-fix-made-easy.com/2011/07/ten-advantages-of-using-internet.html>. KONTAKOS, PETE. "The Role of Information Technology in Logistics." 26 June 2012. Food Logistics. 7 December 2013 <http://www.foodlogistics.com/blog/10734790/the-role-of-information-technology-in-logistics>. NUEZ, JESSIE. "6 Negative Effects of Technology Has On Kids." 9 August 2013. Babble. 7 December 2013 <http://www.babble.com/tech/6-negative-effects-technology-has-on-kids/>. The Electricity Forum. "Who Invented Electricity." 2013. The Electricity Forum. 7 Decemeber 2013 <http://www.electricityforum.com/who-invented-electricity.html>. Volpi, David. "Heavy Technology Use Linked to Fatigue, Stress and Depression in Young Adults." 2 August 2012. Huffington Post. 7 December 2013 <http://www.huffingtonpost.com/david-volpi-md-pc-facs/technology-depression_b_1723625.html>.

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How artificial intelligence is transforming the world

Subscribe to techstream, darrell m. west and darrell m. west senior fellow - center for technology innovation , douglas dillon chair in governmental studies john r. allen john r. allen.

April 24, 2018

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. In this report, Darrell West and John Allen discuss AI’s application across a variety of sectors, address issues in its development, and offer recommendations for getting the most out of AI while still protecting important human values.

Table of Contents I. Qualities of artificial intelligence II. Applications in diverse sectors III. Policy, regulatory, and ethical issues IV. Recommendations V. Conclusion

• 49 min read

Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. 1 A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values. 2

In order to maximize AI benefits, we recommend nine steps for going forward:

• Encourage greater data access for researchers without compromising users’ personal privacy,
• invest more government funding in unclassified AI research,
• promote new models of digital education and AI workforce development so employees have the skills needed in the 21 st -century economy,
• create a federal AI advisory committee to make policy recommendations,
• engage with state and local officials so they enact effective policies,
• regulate broad AI principles rather than specific algorithms,
• take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,
• maintain mechanisms for human oversight and control, and
• penalize malicious AI behavior and promote cybersecurity.

Qualities of artificial intelligence

Although there is no uniformly agreed upon definition, AI generally is thought to refer to “machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention.” 3  According to researchers Shubhendu and Vijay, these software systems “make decisions which normally require [a] human level of expertise” and help people anticipate problems or deal with issues as they come up. 4 As such, they operate in an intentional, intelligent, and adaptive manner.

Intentionality

Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decisionmaking.

Artificial intelligence is already altering the world and raising important questions for society, the economy, and governance.

Intelligence

AI generally is undertaken in conjunction with machine learning and data analytics. 5 Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it to analyze specific issues. All that is required are data that are sufficiently robust that algorithms can discern useful patterns. Data can come in the form of digital information, satellite imagery, visual information, text, or unstructured data.

Adaptability

AI systems have the ability to learn and adapt as they make decisions. In the transportation area, for example, semi-autonomous vehicles have tools that let drivers and vehicles know about upcoming congestion, potholes, highway construction, or other possible traffic impediments. Vehicles can take advantage of the experience of other vehicles on the road, without human involvement, and the entire corpus of their achieved “experience” is immediately and fully transferable to other similarly configured vehicles. Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions. And in the case of fully autonomous vehicles, advanced systems can completely control the car or truck, and make all the navigational decisions.

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Applications in diverse sectors

AI is not a futuristic vision, but rather something that is here today and being integrated with and deployed into a variety of sectors. This includes fields such as finance, national security, health care, criminal justice, transportation, and smart cities. There are numerous examples where AI already is making an impact on the world and augmenting human capabilities in significant ways. 6

One of the reasons for the growing role of AI is the tremendous opportunities for economic development that it presents. A project undertaken by PriceWaterhouseCoopers estimated that “artificial intelligence technologies could increase global GDP by $15.7 trillion, a full 14%, by 2030.” 7 That includes advances of $7 trillion in China, $3.7 trillion in North America, $1.8 trillion in Northern Europe, $1.2 trillion for Africa and Oceania, $0.9 trillion in the rest of Asia outside of China, $0.7 trillion in Southern Europe, and $0.5 trillion in Latin America. China is making rapid strides because it has set a national goal of investing $150 billion in AI and becoming the global leader in this area by 2030.

Meanwhile, a McKinsey Global Institute study of China found that “AI-led automation can give the Chinese economy a productivity injection that would add 0.8 to 1.4 percentage points to GDP growth annually, depending on the speed of adoption.” 8 Although its authors found that China currently lags the United States and the United Kingdom in AI deployment, the sheer size of its AI market gives that country tremendous opportunities for pilot testing and future development.

Investments in financial AI in the United States tripled between 2013 and 2014 to a total of $12.2 billion. 9 According to observers in that sector, “Decisions about loans are now being made by software that can take into account a variety of finely parsed data about a borrower, rather than just a credit score and a background check.” 10 In addition, there are so-called robo-advisers that “create personalized investment portfolios, obviating the need for stockbrokers and financial advisers.” 11 These advances are designed to take the emotion out of investing and undertake decisions based on analytical considerations, and make these choices in a matter of minutes.

A prominent example of this is taking place in stock exchanges, where high-frequency trading by machines has replaced much of human decisionmaking. People submit buy and sell orders, and computers match them in the blink of an eye without human intervention. Machines can spot trading inefficiencies or market differentials on a very small scale and execute trades that make money according to investor instructions. 12 Powered in some places by advanced computing, these tools have much greater capacities for storing information because of their emphasis not on a zero or a one, but on “quantum bits” that can store multiple values in each location. 13 That dramatically increases storage capacity and decreases processing times.

Fraud detection represents another way AI is helpful in financial systems. It sometimes is difficult to discern fraudulent activities in large organizations, but AI can identify abnormalities, outliers, or deviant cases requiring additional investigation. That helps managers find problems early in the cycle, before they reach dangerous levels. 14

National security

AI plays a substantial role in national defense. Through its Project Maven, the American military is deploying AI “to sift through the massive troves of data and video captured by surveillance and then alert human analysts of patterns or when there is abnormal or suspicious activity.” 15 According to Deputy Secretary of Defense Patrick Shanahan, the goal of emerging technologies in this area is “to meet our warfighters’ needs and to increase [the] speed and agility [of] technology development and procurement.” 16

Artificial intelligence will accelerate the traditional process of warfare so rapidly that a new term has been coined: hyperwar.

The big data analytics associated with AI will profoundly affect intelligence analysis, as massive amounts of data are sifted in near real time—if not eventually in real time—thereby providing commanders and their staffs a level of intelligence analysis and productivity heretofore unseen. Command and control will similarly be affected as human commanders delegate certain routine, and in special circumstances, key decisions to AI platforms, reducing dramatically the time associated with the decision and subsequent action. In the end, warfare is a time competitive process, where the side able to decide the fastest and move most quickly to execution will generally prevail. Indeed, artificially intelligent intelligence systems, tied to AI-assisted command and control systems, can move decision support and decisionmaking to a speed vastly superior to the speeds of the traditional means of waging war. So fast will be this process, especially if coupled to automatic decisions to launch artificially intelligent autonomous weapons systems capable of lethal outcomes, that a new term has been coined specifically to embrace the speed at which war will be waged: hyperwar.

While the ethical and legal debate is raging over whether America will ever wage war with artificially intelligent autonomous lethal systems, the Chinese and Russians are not nearly so mired in this debate, and we should anticipate our need to defend against these systems operating at hyperwar speeds. The challenge in the West of where to position “humans in the loop” in a hyperwar scenario will ultimately dictate the West’s capacity to be competitive in this new form of conflict. 17

Just as AI will profoundly affect the speed of warfare, the proliferation of zero day or zero second cyber threats as well as polymorphic malware will challenge even the most sophisticated signature-based cyber protection. This forces significant improvement to existing cyber defenses. Increasingly, vulnerable systems are migrating, and will need to shift to a layered approach to cybersecurity with cloud-based, cognitive AI platforms. This approach moves the community toward a “thinking” defensive capability that can defend networks through constant training on known threats. This capability includes DNA-level analysis of heretofore unknown code, with the possibility of recognizing and stopping inbound malicious code by recognizing a string component of the file. This is how certain key U.S.-based systems stopped the debilitating “WannaCry” and “Petya” viruses.

Preparing for hyperwar and defending critical cyber networks must become a high priority because China, Russia, North Korea, and other countries are putting substantial resources into AI. In 2017, China’s State Council issued a plan for the country to “build a domestic industry worth almost $150 billion” by 2030. 18 As an example of the possibilities, the Chinese search firm Baidu has pioneered a facial recognition application that finds missing people. In addition, cities such as Shenzhen are providing up to $1 million to support AI labs. That country hopes AI will provide security, combat terrorism, and improve speech recognition programs. 19 The dual-use nature of many AI algorithms will mean AI research focused on one sector of society can be rapidly modified for use in the security sector as well. 20

Health care

AI tools are helping designers improve computational sophistication in health care. For example, Merantix is a German company that applies deep learning to medical issues. It has an application in medical imaging that “detects lymph nodes in the human body in Computer Tomography (CT) images.” 21 According to its developers, the key is labeling the nodes and identifying small lesions or growths that could be problematic. Humans can do this, but radiologists charge $100 per hour and may be able to carefully read only four images an hour. If there were 10,000 images, the cost of this process would be $250,000, which is prohibitively expensive if done by humans.

What deep learning can do in this situation is train computers on data sets to learn what a normal-looking versus an irregular-appearing lymph node is. After doing that through imaging exercises and honing the accuracy of the labeling, radiological imaging specialists can apply this knowledge to actual patients and determine the extent to which someone is at risk of cancerous lymph nodes. Since only a few are likely to test positive, it is a matter of identifying the unhealthy versus healthy node.

AI has been applied to congestive heart failure as well, an illness that afflicts 10 percent of senior citizens and costs $35 billion each year in the United States. AI tools are helpful because they “predict in advance potential challenges ahead and allocate resources to patient education, sensing, and proactive interventions that keep patients out of the hospital.” 22

Criminal justice

AI is being deployed in the criminal justice area. The city of Chicago has developed an AI-driven “Strategic Subject List” that analyzes people who have been arrested for their risk of becoming future perpetrators. It ranks 400,000 people on a scale of 0 to 500, using items such as age, criminal activity, victimization, drug arrest records, and gang affiliation. In looking at the data, analysts found that youth is a strong predictor of violence, being a shooting victim is associated with becoming a future perpetrator, gang affiliation has little predictive value, and drug arrests are not significantly associated with future criminal activity. 23

Judicial experts claim AI programs reduce human bias in law enforcement and leads to a fairer sentencing system. R Street Institute Associate Caleb Watney writes:

Empirically grounded questions of predictive risk analysis play to the strengths of machine learning, automated reasoning and other forms of AI. One machine-learning policy simulation concluded that such programs could be used to cut crime up to 24.8 percent with no change in jailing rates, or reduce jail populations by up to 42 percent with no increase in crime rates. 24

However, critics worry that AI algorithms represent “a secret system to punish citizens for crimes they haven’t yet committed. The risk scores have been used numerous times to guide large-scale roundups.” 25 The fear is that such tools target people of color unfairly and have not helped Chicago reduce the murder wave that has plagued it in recent years.

Despite these concerns, other countries are moving ahead with rapid deployment in this area. In China, for example, companies already have “considerable resources and access to voices, faces and other biometric data in vast quantities, which would help them develop their technologies.” 26 New technologies make it possible to match images and voices with other types of information, and to use AI on these combined data sets to improve law enforcement and national security. Through its “Sharp Eyes” program, Chinese law enforcement is matching video images, social media activity, online purchases, travel records, and personal identity into a “police cloud.” This integrated database enables authorities to keep track of criminals, potential law-breakers, and terrorists. 27 Put differently, China has become the world’s leading AI-powered surveillance state.

Transportation

Transportation represents an area where AI and machine learning are producing major innovations. Research by Cameron Kerry and Jack Karsten of the Brookings Institution has found that over $80 billion was invested in autonomous vehicle technology between August 2014 and June 2017. Those investments include applications both for autonomous driving and the core technologies vital to that sector. 28

Autonomous vehicles—cars, trucks, buses, and drone delivery systems—use advanced technological capabilities. Those features include automated vehicle guidance and braking, lane-changing systems, the use of cameras and sensors for collision avoidance, the use of AI to analyze information in real time, and the use of high-performance computing and deep learning systems to adapt to new circumstances through detailed maps. 29

Light detection and ranging systems (LIDARs) and AI are key to navigation and collision avoidance. LIDAR systems combine light and radar instruments. They are mounted on the top of vehicles that use imaging in a 360-degree environment from a radar and light beams to measure the speed and distance of surrounding objects. Along with sensors placed on the front, sides, and back of the vehicle, these instruments provide information that keeps fast-moving cars and trucks in their own lane, helps them avoid other vehicles, applies brakes and steering when needed, and does so instantly so as to avoid accidents.

Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. This means that software is the key—not the physical car or truck itself.

Since these cameras and sensors compile a huge amount of information and need to process it instantly to avoid the car in the next lane, autonomous vehicles require high-performance computing, advanced algorithms, and deep learning systems to adapt to new scenarios. This means that software is the key, not the physical car or truck itself. 30 Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. 31

Ride-sharing companies are very interested in autonomous vehicles. They see advantages in terms of customer service and labor productivity. All of the major ride-sharing companies are exploring driverless cars. The surge of car-sharing and taxi services—such as Uber and Lyft in the United States, Daimler’s Mytaxi and Hailo service in Great Britain, and Didi Chuxing in China—demonstrate the opportunities of this transportation option. Uber recently signed an agreement to purchase 24,000 autonomous cars from Volvo for its ride-sharing service. 32

However, the ride-sharing firm suffered a setback in March 2018 when one of its autonomous vehicles in Arizona hit and killed a pedestrian. Uber and several auto manufacturers immediately suspended testing and launched investigations into what went wrong and how the fatality could have occurred. 33 Both industry and consumers want reassurance that the technology is safe and able to deliver on its stated promises. Unless there are persuasive answers, this accident could slow AI advancements in the transportation sector.

Smart cities

Metropolitan governments are using AI to improve urban service delivery. For example, according to Kevin Desouza, Rashmi Krishnamurthy, and Gregory Dawson:

The Cincinnati Fire Department is using data analytics to optimize medical emergency responses. The new analytics system recommends to the dispatcher an appropriate response to a medical emergency call—whether a patient can be treated on-site or needs to be taken to the hospital—by taking into account several factors, such as the type of call, location, weather, and similar calls. 34

Since it fields 80,000 requests each year, Cincinnati officials are deploying this technology to prioritize responses and determine the best ways to handle emergencies. They see AI as a way to deal with large volumes of data and figure out efficient ways of responding to public requests. Rather than address service issues in an ad hoc manner, authorities are trying to be proactive in how they provide urban services.

Cincinnati is not alone. A number of metropolitan areas are adopting smart city applications that use AI to improve service delivery, environmental planning, resource management, energy utilization, and crime prevention, among other things. For its smart cities index, the magazine Fast Company ranked American locales and found Seattle, Boston, San Francisco, Washington, D.C., and New York City as the top adopters. Seattle, for example, has embraced sustainability and is using AI to manage energy usage and resource management. Boston has launched a “City Hall To Go” that makes sure underserved communities receive needed public services. It also has deployed “cameras and inductive loops to manage traffic and acoustic sensors to identify gun shots.” San Francisco has certified 203 buildings as meeting LEED sustainability standards. 35

Through these and other means, metropolitan areas are leading the country in the deployment of AI solutions. Indeed, according to a National League of Cities report, 66 percent of American cities are investing in smart city technology. Among the top applications noted in the report are “smart meters for utilities, intelligent traffic signals, e-governance applications, Wi-Fi kiosks, and radio frequency identification sensors in pavement.” 36

Policy, regulatory, and ethical issues

These examples from a variety of sectors demonstrate how AI is transforming many walks of human existence. The increasing penetration of AI and autonomous devices into many aspects of life is altering basic operations and decisionmaking within organizations, and improving efficiency and response times.

At the same time, though, these developments raise important policy, regulatory, and ethical issues. For example, how should we promote data access? How do we guard against biased or unfair data used in algorithms? What types of ethical principles are introduced through software programming, and how transparent should designers be about their choices? What about questions of legal liability in cases where algorithms cause harm? 37

The increasing penetration of AI into many aspects of life is altering decisionmaking within organizations and improving efficiency. At the same time, though, these developments raise important policy, regulatory, and ethical issues.

Data access problems

The key to getting the most out of AI is having a “data-friendly ecosystem with unified standards and cross-platform sharing.” AI depends on data that can be analyzed in real time and brought to bear on concrete problems. Having data that are “accessible for exploration” in the research community is a prerequisite for successful AI development. 38

According to a McKinsey Global Institute study, nations that promote open data sources and data sharing are the ones most likely to see AI advances. In this regard, the United States has a substantial advantage over China. Global ratings on data openness show that U.S. ranks eighth overall in the world, compared to 93 for China. 39

But right now, the United States does not have a coherent national data strategy. There are few protocols for promoting research access or platforms that make it possible to gain new insights from proprietary data. It is not always clear who owns data or how much belongs in the public sphere. These uncertainties limit the innovation economy and act as a drag on academic research. In the following section, we outline ways to improve data access for researchers.

Biases in data and algorithms

In some instances, certain AI systems are thought to have enabled discriminatory or biased practices. 40 For example, Airbnb has been accused of having homeowners on its platform who discriminate against racial minorities. A research project undertaken by the Harvard Business School found that “Airbnb users with distinctly African American names were roughly 16 percent less likely to be accepted as guests than those with distinctly white names.” 41

Racial issues also come up with facial recognition software. Most such systems operate by comparing a person’s face to a range of faces in a large database. As pointed out by Joy Buolamwini of the Algorithmic Justice League, “If your facial recognition data contains mostly Caucasian faces, that’s what your program will learn to recognize.” 42 Unless the databases have access to diverse data, these programs perform poorly when attempting to recognize African-American or Asian-American features.

Many historical data sets reflect traditional values, which may or may not represent the preferences wanted in a current system. As Buolamwini notes, such an approach risks repeating inequities of the past:

The rise of automation and the increased reliance on algorithms for high-stakes decisions such as whether someone get insurance or not, your likelihood to default on a loan or somebody’s risk of recidivism means this is something that needs to be addressed. Even admissions decisions are increasingly automated—what school our children go to and what opportunities they have. We don’t have to bring the structural inequalities of the past into the future we create. 43

AI ethics and transparency

Algorithms embed ethical considerations and value choices into program decisions. As such, these systems raise questions concerning the criteria used in automated decisionmaking. Some people want to have a better understanding of how algorithms function and what choices are being made. 44

In the United States, many urban schools use algorithms for enrollment decisions based on a variety of considerations, such as parent preferences, neighborhood qualities, income level, and demographic background. According to Brookings researcher Jon Valant, the New Orleans–based Bricolage Academy “gives priority to economically disadvantaged applicants for up to 33 percent of available seats. In practice, though, most cities have opted for categories that prioritize siblings of current students, children of school employees, and families that live in school’s broad geographic area.” 45 Enrollment choices can be expected to be very different when considerations of this sort come into play.

Depending on how AI systems are set up, they can facilitate the redlining of mortgage applications, help people discriminate against individuals they don’t like, or help screen or build rosters of individuals based on unfair criteria. The types of considerations that go into programming decisions matter a lot in terms of how the systems operate and how they affect customers. 46

For these reasons, the EU is implementing the General Data Protection Regulation (GDPR) in May 2018. The rules specify that people have “the right to opt out of personally tailored ads” and “can contest ‘legal or similarly significant’ decisions made by algorithms and appeal for human intervention” in the form of an explanation of how the algorithm generated a particular outcome. Each guideline is designed to ensure the protection of personal data and provide individuals with information on how the “black box” operates. 47

Legal liability

There are questions concerning the legal liability of AI systems. If there are harms or infractions (or fatalities in the case of driverless cars), the operators of the algorithm likely will fall under product liability rules. A body of case law has shown that the situation’s facts and circumstances determine liability and influence the kind of penalties that are imposed. Those can range from civil fines to imprisonment for major harms. 48 The Uber-related fatality in Arizona will be an important test case for legal liability. The state actively recruited Uber to test its autonomous vehicles and gave the company considerable latitude in terms of road testing. It remains to be seen if there will be lawsuits in this case and who is sued: the human backup driver, the state of Arizona, the Phoenix suburb where the accident took place, Uber, software developers, or the auto manufacturer. Given the multiple people and organizations involved in the road testing, there are many legal questions to be resolved.

In non-transportation areas, digital platforms often have limited liability for what happens on their sites. For example, in the case of Airbnb, the firm “requires that people agree to waive their right to sue, or to join in any class-action lawsuit or class-action arbitration, to use the service.” By demanding that its users sacrifice basic rights, the company limits consumer protections and therefore curtails the ability of people to fight discrimination arising from unfair algorithms. 49 But whether the principle of neutral networks holds up in many sectors is yet to be determined on a widespread basis.

Recommendations

In order to balance innovation with basic human values, we propose a number of recommendations for moving forward with AI. This includes improving data access, increasing government investment in AI, promoting AI workforce development, creating a federal advisory committee, engaging with state and local officials to ensure they enact effective policies, regulating broad objectives as opposed to specific algorithms, taking bias seriously as an AI issue, maintaining mechanisms for human control and oversight, and penalizing malicious behavior and promoting cybersecurity.

Improving data access

The United States should develop a data strategy that promotes innovation and consumer protection. Right now, there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design. AI requires data to test and improve its learning capacity. 50 Without structured and unstructured data sets, it will be nearly impossible to gain the full benefits of artificial intelligence.

In general, the research community needs better access to government and business data, although with appropriate safeguards to make sure researchers do not misuse data in the way Cambridge Analytica did with Facebook information. There is a variety of ways researchers could gain data access. One is through voluntary agreements with companies holding proprietary data. Facebook, for example, recently announced a partnership with Stanford economist Raj Chetty to use its social media data to explore inequality. 51 As part of the arrangement, researchers were required to undergo background checks and could only access data from secured sites in order to protect user privacy and security.

In the U.S., there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design.

Google long has made available search results in aggregated form for researchers and the general public. Through its “Trends” site, scholars can analyze topics such as interest in Trump, views about democracy, and perspectives on the overall economy. 52 That helps people track movements in public interest and identify topics that galvanize the general public.

Twitter makes much of its tweets available to researchers through application programming interfaces, commonly referred to as APIs. These tools help people outside the company build application software and make use of data from its social media platform. They can study patterns of social media communications and see how people are commenting on or reacting to current events.

In some sectors where there is a discernible public benefit, governments can facilitate collaboration by building infrastructure that shares data. For example, the National Cancer Institute has pioneered a data-sharing protocol where certified researchers can query health data it has using de-identified information drawn from clinical data, claims information, and drug therapies. That enables researchers to evaluate efficacy and effectiveness, and make recommendations regarding the best medical approaches, without compromising the privacy of individual patients.

There could be public-private data partnerships that combine government and business data sets to improve system performance. For example, cities could integrate information from ride-sharing services with its own material on social service locations, bus lines, mass transit, and highway congestion to improve transportation. That would help metropolitan areas deal with traffic tie-ups and assist in highway and mass transit planning.

Some combination of these approaches would improve data access for researchers, the government, and the business community, without impinging on personal privacy. As noted by Ian Buck, the vice president of NVIDIA, “Data is the fuel that drives the AI engine. The federal government has access to vast sources of information. Opening access to that data will help us get insights that will transform the U.S. economy.” 53 Through its Data.gov portal, the federal government already has put over 230,000 data sets into the public domain, and this has propelled innovation and aided improvements in AI and data analytic technologies. 54 The private sector also needs to facilitate research data access so that society can achieve the full benefits of artificial intelligence.

Increase government investment in AI

According to Greg Brockman, the co-founder of OpenAI, the U.S. federal government invests only $1.1 billion in non-classified AI technology. 55 That is far lower than the amount being spent by China or other leading nations in this area of research. That shortfall is noteworthy because the economic payoffs of AI are substantial. In order to boost economic development and social innovation, federal officials need to increase investment in artificial intelligence and data analytics. Higher investment is likely to pay for itself many times over in economic and social benefits. 56

Promote digital education and workforce development

As AI applications accelerate across many sectors, it is vital that we reimagine our educational institutions for a world where AI will be ubiquitous and students need a different kind of training than they currently receive. Right now, many students do not receive instruction in the kinds of skills that will be needed in an AI-dominated landscape. For example, there currently are shortages of data scientists, computer scientists, engineers, coders, and platform developers. These are skills that are in short supply; unless our educational system generates more people with these capabilities, it will limit AI development.

For these reasons, both state and federal governments have been investing in AI human capital. For example, in 2017, the National Science Foundation funded over 6,500 graduate students in computer-related fields and has launched several new initiatives designed to encourage data and computer science at all levels from pre-K to higher and continuing education. 57 The goal is to build a larger pipeline of AI and data analytic personnel so that the United States can reap the full advantages of the knowledge revolution.

But there also needs to be substantial changes in the process of learning itself. It is not just technical skills that are needed in an AI world but skills of critical reasoning, collaboration, design, visual display of information, and independent thinking, among others. AI will reconfigure how society and the economy operate, and there needs to be “big picture” thinking on what this will mean for ethics, governance, and societal impact. People will need the ability to think broadly about many questions and integrate knowledge from a number of different areas.

One example of new ways to prepare students for a digital future is IBM’s Teacher Advisor program, utilizing Watson’s free online tools to help teachers bring the latest knowledge into the classroom. They enable instructors to develop new lesson plans in STEM and non-STEM fields, find relevant instructional videos, and help students get the most out of the classroom. 58 As such, they are precursors of new educational environments that need to be created.

Create a federal AI advisory committee

Federal officials need to think about how they deal with artificial intelligence. As noted previously, there are many issues ranging from the need for improved data access to addressing issues of bias and discrimination. It is vital that these and other concerns be considered so we gain the full benefits of this emerging technology.

In order to move forward in this area, several members of Congress have introduced the “Future of Artificial Intelligence Act,” a bill designed to establish broad policy and legal principles for AI. It proposes the secretary of commerce create a federal advisory committee on the development and implementation of artificial intelligence. The legislation provides a mechanism for the federal government to get advice on ways to promote a “climate of investment and innovation to ensure the global competitiveness of the United States,” “optimize the development of artificial intelligence to address the potential growth, restructuring, or other changes in the United States workforce,” “support the unbiased development and application of artificial intelligence,” and “protect the privacy rights of individuals.” 59

Among the specific questions the committee is asked to address include the following: competitiveness, workforce impact, education, ethics training, data sharing, international cooperation, accountability, machine learning bias, rural impact, government efficiency, investment climate, job impact, bias, and consumer impact. The committee is directed to submit a report to Congress and the administration 540 days after enactment regarding any legislative or administrative action needed on AI.

This legislation is a step in the right direction, although the field is moving so rapidly that we would recommend shortening the reporting timeline from 540 days to 180 days. Waiting nearly two years for a committee report will certainly result in missed opportunities and a lack of action on important issues. Given rapid advances in the field, having a much quicker turnaround time on the committee analysis would be quite beneficial.

Engage with state and local officials

States and localities also are taking action on AI. For example, the New York City Council unanimously passed a bill that directed the mayor to form a taskforce that would “monitor the fairness and validity of algorithms used by municipal agencies.” 60 The city employs algorithms to “determine if a lower bail will be assigned to an indigent defendant, where firehouses are established, student placement for public schools, assessing teacher performance, identifying Medicaid fraud and determine where crime will happen next.” 61

According to the legislation’s developers, city officials want to know how these algorithms work and make sure there is sufficient AI transparency and accountability. In addition, there is concern regarding the fairness and biases of AI algorithms, so the taskforce has been directed to analyze these issues and make recommendations regarding future usage. It is scheduled to report back to the mayor on a range of AI policy, legal, and regulatory issues by late 2019.

Some observers already are worrying that the taskforce won’t go far enough in holding algorithms accountable. For example, Julia Powles of Cornell Tech and New York University argues that the bill originally required companies to make the AI source code available to the public for inspection, and that there be simulations of its decisionmaking using actual data. After criticism of those provisions, however, former Councilman James Vacca dropped the requirements in favor of a task force studying these issues. He and other city officials were concerned that publication of proprietary information on algorithms would slow innovation and make it difficult to find AI vendors who would work with the city. 62 It remains to be seen how this local task force will balance issues of innovation, privacy, and transparency.

Regulate broad objectives more than specific algorithms

The European Union has taken a restrictive stance on these issues of data collection and analysis. 63 It has rules limiting the ability of companies from collecting data on road conditions and mapping street views. Because many of these countries worry that people’s personal information in unencrypted Wi-Fi networks are swept up in overall data collection, the EU has fined technology firms, demanded copies of data, and placed limits on the material collected. 64 This has made it more difficult for technology companies operating there to develop the high-definition maps required for autonomous vehicles.

The GDPR being implemented in Europe place severe restrictions on the use of artificial intelligence and machine learning. According to published guidelines, “Regulations prohibit any automated decision that ‘significantly affects’ EU citizens. This includes techniques that evaluates a person’s ‘performance at work, economic situation, health, personal preferences, interests, reliability, behavior, location, or movements.’” 65 In addition, these new rules give citizens the right to review how digital services made specific algorithmic choices affecting people.

By taking a restrictive stance on issues of data collection and analysis, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

If interpreted stringently, these rules will make it difficult for European software designers (and American designers who work with European counterparts) to incorporate artificial intelligence and high-definition mapping in autonomous vehicles. Central to navigation in these cars and trucks is tracking location and movements. Without high-definition maps containing geo-coded data and the deep learning that makes use of this information, fully autonomous driving will stagnate in Europe. Through this and other data protection actions, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

It makes more sense to think about the broad objectives desired in AI and enact policies that advance them, as opposed to governments trying to crack open the “black boxes” and see exactly how specific algorithms operate. Regulating individual algorithms will limit innovation and make it difficult for companies to make use of artificial intelligence.

Take biases seriously

Bias and discrimination are serious issues for AI. There already have been a number of cases of unfair treatment linked to historic data, and steps need to be undertaken to make sure that does not become prevalent in artificial intelligence. Existing statutes governing discrimination in the physical economy need to be extended to digital platforms. That will help protect consumers and build confidence in these systems as a whole.

For these advances to be widely adopted, more transparency is needed in how AI systems operate. Andrew Burt of Immuta argues, “The key problem confronting predictive analytics is really transparency. We’re in a world where data science operations are taking on increasingly important tasks, and the only thing holding them back is going to be how well the data scientists who train the models can explain what it is their models are doing.” 66

Maintaining mechanisms for human oversight and control

Some individuals have argued that there needs to be avenues for humans to exercise oversight and control of AI systems. For example, Allen Institute for Artificial Intelligence CEO Oren Etzioni argues there should be rules for regulating these systems. First, he says, AI must be governed by all the laws that already have been developed for human behavior, including regulations concerning “cyberbullying, stock manipulation or terrorist threats,” as well as “entrap[ping] people into committing crimes.” Second, he believes that these systems should disclose they are automated systems and not human beings. Third, he states, “An A.I. system cannot retain or disclose confidential information without explicit approval from the source of that information.” 67 His rationale is that these tools store so much data that people have to be cognizant of the privacy risks posed by AI.

In the same vein, the IEEE Global Initiative has ethical guidelines for AI and autonomous systems. Its experts suggest that these models be programmed with consideration for widely accepted human norms and rules for behavior. AI algorithms need to take into effect the importance of these norms, how norm conflict can be resolved, and ways these systems can be transparent about norm resolution. Software designs should be programmed for “nondeception” and “honesty,” according to ethics experts. When failures occur, there must be mitigation mechanisms to deal with the consequences. In particular, AI must be sensitive to problems such as bias, discrimination, and fairness. 68

A group of machine learning experts claim it is possible to automate ethical decisionmaking. Using the trolley problem as a moral dilemma, they ask the following question: If an autonomous car goes out of control, should it be programmed to kill its own passengers or the pedestrians who are crossing the street? They devised a “voting-based system” that asked 1.3 million people to assess alternative scenarios, summarized the overall choices, and applied the overall perspective of these individuals to a range of vehicular possibilities. That allowed them to automate ethical decisionmaking in AI algorithms, taking public preferences into account. 69 This procedure, of course, does not reduce the tragedy involved in any kind of fatality, such as seen in the Uber case, but it provides a mechanism to help AI developers incorporate ethical considerations in their planning.

Penalize malicious behavior and promote cybersecurity

As with any emerging technology, it is important to discourage malicious treatment designed to trick software or use it for undesirable ends. 70 This is especially important given the dual-use aspects of AI, where the same tool can be used for beneficial or malicious purposes. The malevolent use of AI exposes individuals and organizations to unnecessary risks and undermines the virtues of the emerging technology. This includes behaviors such as hacking, manipulating algorithms, compromising privacy and confidentiality, or stealing identities. Efforts to hijack AI in order to solicit confidential information should be seriously penalized as a way to deter such actions. 71

In a rapidly changing world with many entities having advanced computing capabilities, there needs to be serious attention devoted to cybersecurity. Countries have to be careful to safeguard their own systems and keep other nations from damaging their security. 72 According to the U.S. Department of Homeland Security, a major American bank receives around 11 million calls a week at its service center. In order to protect its telephony from denial of service attacks, it uses a “machine learning-based policy engine [that] blocks more than 120,000 calls per month based on voice firewall policies including harassing callers, robocalls and potential fraudulent calls.” 73 This represents a way in which machine learning can help defend technology systems from malevolent attacks.

To summarize, the world is on the cusp of revolutionizing many sectors through artificial intelligence and data analytics. There already are significant deployments in finance, national security, health care, criminal justice, transportation, and smart cities that have altered decisionmaking, business models, risk mitigation, and system performance. These developments are generating substantial economic and social benefits.

The world is on the cusp of revolutionizing many sectors through artificial intelligence, but the way AI systems are developed need to be better understood due to the major implications these technologies will have for society as a whole.

Yet the manner in which AI systems unfold has major implications for society as a whole. It matters how policy issues are addressed, ethical conflicts are reconciled, legal realities are resolved, and how much transparency is required in AI and data analytic solutions. 74 Human choices about software development affect the way in which decisions are made and the manner in which they are integrated into organizational routines. Exactly how these processes are executed need to be better understood because they will have substantial impact on the general public soon, and for the foreseeable future. AI may well be a revolution in human affairs, and become the single most influential human innovation in history.

Note: We appreciate the research assistance of Grace Gilberg, Jack Karsten, Hillary Schaub, and Kristjan Tomasson on this project.

The Brookings Institution is a nonprofit organization devoted to independent research and policy solutions. Its mission is to conduct high-quality, independent research and, based on that research, to provide innovative, practical recommendations for policymakers and the public. The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars.

Support for this publication was generously provided by Amazon. Brookings recognizes that the value it provides is in its absolute commitment to quality, independence, and impact. Activities supported by its donors reflect this commitment. 

John R. Allen is a member of the Board of Advisors of Amida Technology and on the Board of Directors of Spark Cognition. Both companies work in fields discussed in this piece.

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• Claire Miller and Kevin O’Brien, “Germany’s Complicated Relationship with Google Street View,” New York Times , April 23, 2013.
• Cade Metz, “Artificial Intelligence is Setting Up the Internet for a Huge Clash with Europe,” Wired , July 11, 2016.
• Eric Siegel, “Predictive Analytics Interview Series: Andrew Burt,” Predictive Analytics Times , June 14, 2017.
• Oren Etzioni, “How to Regulate Artificial Intelligence,” New York Times , September 1, 2017.
• “Ethical Considerations in Artificial Intelligence and Autonomous Systems,” unpublished paper. IEEE Global Initiative, 2018.
• Ritesh Noothigattu, Snehalkumar Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, and Ariel Procaccia, “A Voting-Based System for Ethical Decision Making,” Computers and Society , September 20, 2017 (www.media.mit.edu/publications/a-voting-based-system-for-ethical-decision-making/).
• Miles Brundage, et al., “The Malicious Use of Artificial Intelligence,” University of Oxford unpublished paper, February 2018.
• John Markoff, “As Artificial Intelligence Evolves, So Does Its Criminal Potential,” New York Times, October 24, 2016, p. B3.
• Economist , “The Challenger: Technopolitics,” March 17, 2018.
• Douglas Maughan, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Levi Tillemann and Colin McCormick, “Roadmapping a U.S.-German Agenda for Artificial Intelligence Policy,” New American Foundation, March 2017.

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Technophrenia

On the interface between technology, people and society

How technology is changing language and the way we think about the world

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We are getting used to the idea of rapidly developing technologies changing what we can do and how we do things. What most people haven’t considered is how technologies affect our language and how these changes are affecting the way we speak and even the way we think.

One of the key ways we see this is when the name of a company becomes a way of doing something involving any product that is similar. Classic examples are “to hoover” which came from the early dominance of vaccuum cleaners from the Hoover Company .

Googling becomes a verb

More significantly is the use of the term “to google” which first came to prominence in 2002 when the American Dialect Society declared it word of the year. Later, in 2009, they declared “google” to be the the word of the decade.

Google had become a generic word meaning “to search the Internet” with any search engine, not just Google itself. But googling has become much more than just the mere act of typing words into a text box and clicking a button. We now understand the subtext when someone declares “I have googled you” or even that they have googled themselves. The idea that this act can now exert a powerful effect on the opinion we form of others has even resulted in laws formulated by the European Union giving individuals rights over search engine companies to have information about them removed in order to be “forgotten”.

Google has now become our collective global memory and googling is the process by which we access those memories. This, in turn, is simply a process that we have always engaged with called “ transactive memory ” in which we turn to people around us, usually people we know, to help us recall facts and memories. The invention of the Gutenberg press allowed us to outsource people to books. The difference now though is that Google is now always with us, has a vast database of information that it is getting increasingly better at letting you access, with the vaguest of questions. This in turn has had a dramatic effect on what we are able to achieve, not only as individuals, but as a society.

The act of computer programming for example has become much easier through the ability to learn new computer languages and solve problems by “googling” the answers. It could be argued that the boom in mobile phone apps would not have been possible without Ggoogle providing a mechanism to access the “transactive memories” of the thousands of knowledgeable programmers with the answers to any developer’s questions.

Interestingly, it has been [Google] themselves who have resisted , even at times through legal threats, the spread of “google” being used beyond its reference to the company. This is because if it does enter the language as a common term, Google could lose the protection of the name as a trademark. If Google becomes a common term, to mean any generic search, it could become a “generic trademark” like Cellophane, Aspirin, Escalator and others.

Industries become uberized

In a different example of a verb that has come from a proper noun but may have just as significant an impact on our social lives, we have “to uberize”. This comes from the company Uber whose business approach has disrupted an industry by using mobile apps backed with data analytics to provide cheaper taxi services to consumers. The concept of “uberization” has taken the general meaning of disrupting any industry through the use of technology to circumvent unnecessary bureaucracy and legislation. What is interesting about the use of the term uberization is that again, the subtext is not just about the actual process of transforming an industry into something more efficient or productive. Saying that an industry needs to be “uberized” is as much a commentary about its unwillingness to change, modernise and really meet consumers’ needs. This context is being built up with every new development in the ongoing battles and controversies that Uber is facing as it pushes through its disruption of the taxi industry.

Uber’s less successful contribution to our language has been the concept of “ surge pricing ”. The concept embodies basic economic principles to ensure that there are taxis willing to pick up consumers at the busiest times. It turns out that this is too hard for most consumers (and reporters) to understand and they have interpreted it simply as unfair price gouging.

As a new term, it is an interesting example however of how a term that was supposed to have a specific meaning has been turned into something completely different through popular usage.

How much has changed

There are many conversations that we could have today that would mean little to someone from 2005. Even though the definition of specific words could be given, it would need the entire context of how they have developed through the interplay of technology, individuals and society to have any real meaning. This is not the first time this has happened in history but certainly the increase in the pace of change has resulted in our language changing equally rapidly, and with it, our thoughts.

On a final historical note, you can wonder what George Bernard Shaw would have understood by the following statements? “My mother was hacked last night.” “What a great meal - I’ll upload it!” “If anyone’s out there, can you inbox me?’ "How many steps did you get today?” “Will you torrent me the next series?” “I’ve given up on windows.”

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How Technology Affects Our Lives – Essay

Do you wish to explore the use of information technology in daily life? Essays like the one below discuss this topic in depth. Read on to find out more.

Introduction

Technology in communication, technology in healthcare, technology in government, technology in education, technology in business, negative impact of technology.

Technology is a vital component of life in the modern world. People are so dependent on technology that they cannot live without it. Technology is important and useful in all areas of human life today. It has made life easy and comfortable by making communication and transport faster and easier (Harrington, 2011, p.35).

It has made education accessible to all and has improved healthcare services. Technology has made the world smaller and a better place to live. Without technology, fulfilling human needs would be a difficult task. Before the advent of technology, human beings were still fulfilling their needs. However, with technology, fulfillment of needs has become easier and faster.

It is unimaginable how life would be without technology. Technology is useful in the following areas: transport, communication, interaction, education, healthcare, and business (Harrington, 2011, p.35). Despite its benefits, technology has negative impacts on society. Examples of negative impacts of technology include the development of controversial medical practices such as stem cell research and the embracement of solitude due to changes in interaction methods. For example, social media has changed the way people interact.

Technology has led to the introduction of cloning, which is highly controversial because of its ethical and moral implications. The growth of technology has changed the world significantly and has influenced life in a great way. Technology is changing every day and continuing to influence areas of communication, healthcare, governance, education, and business.

Technology has contributed fundamentally in improving people’s lifestyles. It has improved communication by incorporating the Internet and devices such as mobile phones into people’s lives. The first technological invention to have an impact on communication was the discovery of the telephone by Graham Bell in 1875.

Since then, other inventions such as the Internet and the mobile phone have made communication faster and easier. For example, the Internet has improved ways through which people exchange views, opinions, and ideas through online discussions (Harrington, 2011, p.38). Unlike in the past when people who were in different geographical regions could not easily communicate, technology has eradicated that communication barrier. People in different geographical regions can send and receive messages within seconds.

Online discussions have made it easy for people to keep in touch. In addition, they have made socializing easy. Through online discussions, people find better solutions to problems by exchanging opinions and ideas (Harrington, 2011, p.39). Examples of technological inventions that facilitate online discussions include emails, online forums, dating websites, and social media sites.

Another technological invention that changed communication was the mobile phone. In the past, people relied on letters to send messages to people who were far away. Mobile phones have made communication efficient and reliable. They facilitate both local and international communication.

In addition, they enable people to respond to emergencies and other situations that require quick responses. Other uses of cell phones include the transfer of data through applications such as infrared and Bluetooth, entertainment, and their use as miniature personal computers (Harrington, 2011, p.40).

The latest versions of mobile phones are fitted with applications that enable them to access the Internet. This provides loads of information in diverse fields for mobile phone users. For business owners, mobile phones enhance the efficiency of their business operations because they are able to keep in touch with their employees and suppliers (Harrington, 2011, p.41). In addition, they are able to receive any information about the progress of their business in a short period of time.

Technology has contributed significantly to the healthcare sector. For example, it has made vital contributions in the fields of disease prevention and health promotion. Technology has aided in the understanding of the pathophysiology of diseases, which has led to the prevention of many diseases. For example, understanding the pathophysiology of the gastrointestinal tract and blood diseases has aided in their effective management (Harrington, 2011, p.49).

Technology has enabled practitioners in the medical field to make discoveries that have changed the healthcare sector. These include the discovery that peptic ulceration is caused by a bacterial infection and the development of drugs to treat schizophrenia and depressive disorders that afflict a greater portion of the population (Harrington, 2011, p.53). The development of vaccines against polio and measles led to their total eradication.

Children who are vaccinated against these diseases are not at risk of contracting the diseases. The development of vaccines was facilitated by technology, without which certain diseases would still be causing deaths in great numbers. Vaccines play a significant role in disease prevention.

Technology is used in health promotion in different ways. First, health practitioners use various technological methods to improve health care. eHealth refers to the use of information technology to improve healthcare by providing information on the Internet to people. In this field, technology is used in three main ways.

These include its use as an intervention tool, its use in conducting research studies, and its use for professional development (Lintonen et al, 2008, p. 560). According to Lintonenet al (2008), “e-health is the use of emerging information and communications technology, especially the internet, to improve or enable health and healthcare.” (p.560). It is largely used to support health care interventions that are mainly directed towards individual persons. Secondly, it is used to improve the well-being of patients during recovery.

Bedside technology has contributed significantly in helping patients recover. For example, medical professionals have started using the Xbox computer technology to develop a revolutionary process that measures limb movements in stroke patients (Tanja-Dijkstra, 2011, p.48). This helps them recover their manual competencies. The main aim of this technology is to help stroke patients do more exercises to increase their recovery rate and reduce the frequency of visits to the hospital (Lintonen et al, 2008, p. 560).

The government has utilized technology in two main areas. These include the facilitation of the delivery of citizen services and the improvement of defense and national security (Scholl, 2010, p.62). The government is spending large sums of money on wireless technologies, mobile gadgets, and technological applications. This is in an effort to improve their operations and ensure that the needs of citizens are fulfilled.

For example, in order to enhance safety and improve service delivery, Cisco developed a networking approach known as Connected Communities. This networking system connects citizens with the government and the community. The system was developed to improve the safety and security of citizens, improve service delivery by the government, empower citizens, and encourage economic development.

The government uses technology to provide information and services to citizens. This encourages economic development and fosters social inclusion (Scholl, 2010, p.62). Technology is also useful in improving national security and the safety of citizens. It integrates several wireless technologies and applications that make it easy for security agencies to access and share important information effectively. Technology is widely used by security agencies to reduce vulnerability to terrorism.

Technologically advanced gadgets are used in airports, hospitals, shopping malls, and public buildings to screen people for explosives and potentially dangerous materials or gadgets that may compromise the safety of citizens (Bonvillian and Sharp, 2001, par2). In addition, security agencies use surveillance systems to restrict access to certain areas. They also use technologically advanced screening and tracking methods to improve security in places that are prone to terrorist attacks (Bonvillian and Sharp, 2001, par3).

Technology has made significant contributions in the education sector. It is used to enhance teaching and learning through the use of different technological methods and resources. These include classrooms with digital tools such as computers that facilitate learning, online learning schools, blended learning, and a wide variety of online learning resources (Barnett, 1997, p.74). Digital learning tools that are used in classrooms facilitate learning in different ways. They expand the scope of learning materials and experiences for students, improve student participation in learning, make learning easier and quick, and reduce the cost of education (Barnett, 1997, p.75). For example, online schools and free learning materials reduce the costs that are incurred in purchasing learning materials. They are readily available online. In addition, they reduce the expenses that are incurred in program delivery.

Technology has improved the process of teaching by introducing new methods that facilitate connected teaching. These methods virtually connect teachers to their students. Teachers are able to provide learning materials and the course content to students effectively. In addition, teachers are able to give students an opportunity to personalize learning and access all learning materials that they provide. Technology enables teachers to serve the academic needs of different students.

In addition, it enhances learning because the problem of distance is eradicated, and students can contact their teachers easily (Barnett, 1997, p.76). Technology plays a significant role in changing how teachers teach. It enables educators to evaluate the learning abilities of different students in order to devise teaching methods that are most efficient in the achievement of learning objectives.

Through technology, teachers are able to relate well with their students, and they are able to help and guide them. Educators assume the role of coaches, advisors, and experts in their areas of teaching. Technology helps make teaching and learning enjoyable and gives it meaning that goes beyond the traditional classroom set-up system (Barnett, 1997, p.81).

Technology is used in the business world to improve efficiency and increase productivity. Most important, technology is used as a tool to foster innovation and creativity (Ray, 2004, p.62). Other benefits of technology to businesses include the reduction of injury risk to employees and improved competitiveness in the markets. For example, many manufacturing businesses use automated systems instead of manual systems. These systems eliminate the costs of hiring employees to oversee manufacturing processes.

They also increase productivity and improve the accuracy of the processes because of the reduction of errors (Ray, 2004, p.63). Technology improves productivity due to Computer-aided Manufacturing (CAM), Computer-integrated Manufacturing (CIM), and Computer-aided Design (CAD). CAM reduces labor costs, increases the speed of production, and ensures a higher level of accuracy (Hunt, 2008, p.44). CIM reduces labor costs, while CAD improves the quality and standards of products and reduces the cost of production.

Another example of the use of technology in improving productivity and output is the use of database systems to store data and information. Many businesses store their data and other information in database systems that make accessibility of information fast, easy, and reliable (Pages, 2010, p.44).

Technology has changed how international business is conducted. With the advent of e-commerce, businesses became able to trade through the Internet on the international market (Ray, 2004, p.69). This means that there is a large market for products and services. In addition, it implies that most markets are open 24 hours a day.

For example, customers can shop for books or music on Amazon.com at any time of the day. E-commerce has given businesses the opportunity to expand and operate internationally. Countries such as China and Brazil are taking advantage of opportunities presented by technology to grow their economy.

E-commerce reduces the complexities involved in conducting international trade (Ray, 2004, p.71). Its many components make international trade easy and fast. For example, a BOES system allows merchants to execute trade transactions in any language or currency, monitor all steps involved in transactions, and calculate all costs involved, such as taxes and freight costs (Yates, 2006, p.426).

Financial researchers claim that a BOES system is capable of reducing the cost of an international transaction by approximately 30% (Ray, 2004, p.74). BOES enables businesses to import and export different products through the Internet. This system of trade is efficient and creates a fair environment in which small and medium-sized companies can compete with large companies that dominate the market.

Despite its many benefits, technology has negative impacts. It has negative impacts on society because it affects communication and has changed the way people view social life. First, people have become more anti-social because of changes in methods of socializing (Harrington, 2008, p.103). Today, one does not need to interact physically with another person in order to establish a relationship.

The Internet is awash with dating sites that are full of people looking for partners and friends. The ease of forming friendships and relationships through the Internet has discouraged many people from engaging in traditional socializing activities. Secondly, technology has affected the economic statuses of many families because of high rates of unemployment. People lose jobs when organizations and businesses embrace technology (Harrington, 2008, p.105).

For example, many employees lose their jobs when manufacturing companies replace them with automated machines that are more efficient and cost-effective. Many families are struggling because of the lack of a constant stream of income. On the other hand, technology has led to the closure of certain companies because the world does not need their services. This is prompted by technological advancements.

For example, the invention of digital cameras forced Kodak to close down because people no longer needed analog cameras. Digital cameras replaced analog cameras because they are easy to use and efficient. Many people lost their jobs due to changes in technology. Thirdly, technology has made people lazy and unwilling to engage in strenuous activities (Harrington, 2008, p.113).

For example, video games have replaced physical activities that are vital in improving the health of young people. Children spend a lot of time watching television and playing video games such that they have little or no time for physical activities. This has encouraged the proliferation of unhealthy eating habits that lead to conditions such as diabetes.

Technology has elicited heated debates in the healthcare sector. Technology has led to medical practices such as stem cell research, implant embryos, and assisted reproduction. Even though these practices have been proven viable, they are highly criticized on the grounds of their moral implications on society.

There are many controversial medical technologies, such as gene therapy, pharmacogenomics, and stem cell research (Hunt, 2008, p.113). The use of genetic research in finding new cures for diseases is imperative and laudable. However, the medical implications of these disease treatment methods and the ethical and moral issues associated with the treatment methods are critical. Gene therapy is mostly rejected by religious people.

They claim that it is against natural law to alter the gene composition of a person in any way (Hunt, 2008, p.114). The use of embryonic stem cells in research is highly controversial, unlike the use of adult stem cells. The controversy exists because of the source of the stem cells. The cells are obtained from embryos. There is a belief among many people that life starts after conception.

Therefore, using embryos in research means killing them to obtain their cells for research. The use of embryo cells in research is considered in the same light as abortion: eliminating a life (Hunt, 2008, p.119). These issues have led to disagreements between the science and the religious worlds.

Technology is a vital component of life in the modern world. People are so dependent on technology that they cannot live without it. Technology is important and useful in all areas of human life today.

It has made life easy and comfortable by making communication faster and travel faster, making movements between places easier, making actions quick, and easing interactions. Technology is useful in the following areas of life: transport, communication, interaction, education, healthcare, and business. Despite its benefits, technology has negative impacts on society.

Technology has eased communication and transport. The discovery of the telephone and the later invention of the mobile phone changed the face of communication entirely. People in different geographical regions can communicate easily and in record time. In the field of health care, technology has made significant contributions in disease prevention and health promotion. The development of vaccines has eradicated certain diseases, and the use of the Internet is vital in promoting health and health care.

The government uses technology to enhance the delivery of services to citizens and the improvement of defense and security. In the education sector, teaching and learning processes have undergone significant changes owing to the impact of technology. Teachers are able to relate to different types of learners, and the learners have access to various resources and learning materials. Businesses benefit from technology through the reduction of costs and increased efficiency of business operations.

Despite the benefits, technology has certain disadvantages. It has negatively affected human interactions and socialization and has led to widespread unemployment. In addition, its application in the healthcare sector has elicited controversies due to certain medical practices such as stem cell research and gene therapy. Technology is very important and has made life easier and more comfortable than it was in the past.

Barnett, L. (1997). Using Technology in Teaching and Learning . New York: Routledge.

Bonvillian, W., and Sharp, K. (2011). Homeland Security Technology . Retrieved from https://issues.org/bonvillian/ .

Harrington, J. (2011). Technology and Society . New York: Jones & Bartlett Publishers.

Hunt, S. (2008). Controversies in Treatment Approaches: Gene Therapy, IVF, Stem Cells and Pharmagenomics. Nature Education , 19(1), 112-134.

Lintonen, P., Konu, A., and Seedhouse, D. (2008). Information Technology in Health Promotion. Health Education Research , 23(3), 560-566.

Pages, J., Bikifalvi, A., and De Castro Vila, R. (2010). The Use and Impact of Technology in Factory Environments: Evidence from a Survey of Manufacturing Industry in Spain. International Journal of Advanced Manufacturing Technology , 47(1), 182-190.

Ray, R. (2004). Technology Solutions for Growing Businesses . New York: AMACOM Div American Management Association.

Scholl, H. (2010). E-government: Information, Technology and Transformation . New York: M.E. Sharpe.

Tanja-Dijkstra, K. (2011). The Impact of Bedside Technology on Patients’ Well-Being. Health Environments Research & Design Journal (HERD) , 5(1), 43-51.

Yates, J. (2006). How Business Enterprises use Technology: Extending the Demand-Side Turn. Enterprise and Society , 7(3), 422-425.

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Bibliography

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Artificial intelligence is transforming our world — it is on all of us to make sure that it goes well

How ai gets built is currently decided by a small group of technologists. as this technology is transforming our lives, it should be in all of our interest to become informed and engaged..

Why should you care about the development of artificial intelligence?

Think about what the alternative would look like. If you and the wider public do not get informed and engaged, then we leave it to a few entrepreneurs and engineers to decide how this technology will transform our world.

That is the status quo. This small number of people at a few tech firms directly working on artificial intelligence (AI) do understand how extraordinarily powerful this technology is becoming . If the rest of society does not become engaged, then it will be this small elite who decides how this technology will change our lives.

To change this status quo, I want to answer three questions in this article: Why is it hard to take the prospect of a world transformed by AI seriously? How can we imagine such a world? And what is at stake as this technology becomes more powerful?

Why is it hard to take the prospect of a world transformed by artificial intelligence seriously?

In some way, it should be obvious how technology can fundamentally transform the world. We just have to look at how much the world has already changed. If you could invite a family of hunter-gatherers from 20,000 years ago on your next flight, they would be pretty surprised. Technology has changed our world already, so we should expect that it can happen again.

But while we have seen the world transform before, we have seen these transformations play out over the course of generations. What is different now is how very rapid these technological changes have become. In the past, the technologies that our ancestors used in their childhood were still central to their lives in their old age. This has not been the case anymore for recent generations. Instead, it has become common that technologies unimaginable in one's youth become ordinary in later life.

This is the first reason we might not take the prospect seriously: it is easy to underestimate the speed at which technology can change the world.

The second reason why it is difficult to take the possibility of transformative AI – potentially even AI as intelligent as humans – seriously is that it is an idea that we first heard in the cinema. It is not surprising that for many of us, the first reaction to a scenario in which machines have human-like capabilities is the same as if you had asked us to take seriously a future in which vampires, werewolves, or zombies roam the planet. 1

But, it is plausible that it is both the stuff of sci-fi fantasy and the central invention that could arrive in our, or our children’s, lifetimes.

The third reason why it is difficult to take this prospect seriously is by failing to see that powerful AI could lead to very large changes. This is also understandable. It is difficult to form an idea of a future that is very different from our own time. There are two concepts that I find helpful in imagining a very different future with artificial intelligence. Let’s look at both of them.

How to develop an idea of what the future of artificial intelligence might look like?

When thinking about the future of artificial intelligence, I find it helpful to consider two different concepts in particular: human-level AI, and transformative AI. 2 The first concept highlights the AI’s capabilities and anchors them to a familiar benchmark, while transformative AI emphasizes the impact that this technology would have on the world.

From where we are today, much of this may sound like science fiction. It is therefore worth keeping in mind that the majority of surveyed AI experts believe there is a real chance that human-level artificial intelligence will be developed within the next decades, and some believe that it will exist much sooner.

The advantages and disadvantages of comparing machine and human intelligence

One way to think about human-level artificial intelligence is to contrast it with the current state of AI technology. While today’s AI systems often have capabilities similar to a particular, limited part of the human mind, a human-level AI would be a machine that is capable of carrying out the same range of intellectual tasks that we humans are capable of. 3 It is a machine that would be “able to learn to do anything that a human can do,” as Norvig and Russell put it in their textbook on AI. 4

Taken together, the range of abilities that characterize intelligence gives humans the ability to solve problems and achieve a wide variety of goals. A human-level AI would therefore be a system that could solve all those problems that we humans can solve, and do the tasks that humans do today. Such a machine, or collective of machines, would be able to do the work of a translator, an accountant, an illustrator, a teacher, a therapist, a truck driver, or the work of a trader on the world’s financial markets. Like us, it would also be able to do research and science, and to develop new technologies based on that.

The concept of human-level AI has some clear advantages. Using the familiarity of our own intelligence as a reference provides us with some clear guidance on how to imagine the capabilities of this technology.

However, it also has clear disadvantages. Anchoring the imagination of future AI systems to the familiar reality of human intelligence carries the risk that it obscures the very real differences between them.

Some of these differences are obvious. For example, AI systems will have the immense memory of computer systems, against which our own capacity to store information pales. Another obvious difference is the speed at which a machine can absorb and process information. But information storage and processing speed are not the only differences. The domains in which machines already outperform humans is steadily increasing: in chess, after matching the level of the best human players in the late 90s, AI systems reached superhuman levels more than a decade ago. In other games like Go or complex strategy games, this has happened more recently. 5

These differences mean that an AI that is at least as good as humans in every domain would overall be much more powerful than the human mind. Even the first “human-level AI” would therefore be quite superhuman in many ways. 6

Human intelligence is also a bad metaphor for machine intelligence in other ways. The way we think is often very different from machines, and as a consequence the output of thinking machines can be very alien to us.

Most perplexing and most concerning are the strange and unexpected ways in which machine intelligence can fail. The AI-generated image of the horse below provides an example: on the one hand, AIs can do what no human can do – produce an image of anything, in any style (here photorealistic), in mere seconds – but on the other hand it can fail in ways that no human would fail. 7 No human would make the mistake of drawing a horse with five legs. 8

Imagining a powerful future AI as just another human would therefore likely be a mistake. The differences might be so large that it will be a misnomer to call such systems “human-level.”

AI-generated image of a horse 9

Transformative artificial intelligence is defined by the impact this technology would have on the world

In contrast, the concept of transformative AI is not based on a comparison with human intelligence. This has the advantage of sidestepping the problems that the comparisons with our own mind bring. But it has the disadvantage that it is harder to imagine what such a system would look like and be capable of. It requires more from us. It requires us to imagine a world with intelligent actors that are potentially very different from ourselves.

Transformative AI is not defined by any specific capabilities, but by the real-world impact that the AI would have. To qualify as transformative, researchers think of it as AI that is “powerful enough to bring us into a new, qualitatively different future.” 10

In humanity’s history, there have been two cases of such major transformations, the agricultural and the industrial revolutions.

Transformative AI becoming a reality would be an event on that scale. Like the arrival of agriculture 10,000 years ago, or the transition from hand- to machine-manufacturing, it would be an event that would change the world for billions of people around the globe and for the entire trajectory of humanity’s future .

Technologies that fundamentally change how a wide range of goods or services are produced are called ‘general-purpose technologies’. The two previous transformative events were caused by the discovery of two particularly significant general-purpose technologies: the change in food production as humanity transitioned from hunting and gathering to farming, and the rise of machine manufacturing in the industrial revolution. Based on the evidence and arguments presented in this series on AI development, I believe it is plausible that powerful AI could represent the introduction of a similarly significant general-purpose technology.

Timeline of the three transformative events in world history

A future of human-level or transformative AI?

The two concepts are closely related, but they are not the same. The creation of a human-level AI would certainly have a transformative impact on our world. If the work of most humans could be carried out by an AI, the lives of millions of people would change. 11

The opposite, however, is not true: we might see transformative AI without developing human-level AI. Since the human mind is in many ways a poor metaphor for the intelligence of machines, we might plausibly develop transformative AI before we develop human-level AI. Depending on how this goes, this might mean that we will never see any machine intelligence for which human intelligence is a helpful comparison.

When and if AI systems might reach either of these levels is of course difficult to predict. In my companion article on this question, I give an overview of what researchers in this field currently believe. Many AI experts believe there is a real chance that such systems will be developed within the next decades, and some believe that they will exist much sooner.

What is at stake as artificial intelligence becomes more powerful?

All major technological innovations lead to a range of positive and negative consequences. For AI, the spectrum of possible outcomes – from the most negative to the most positive – is extraordinarily wide.

That the use of AI technology can cause harm is clear, because it is already happening.

AI systems can cause harm when people use them maliciously. For example, when they are used in politically-motivated disinformation campaigns or to enable mass surveillance. 12

But AI systems can also cause unintended harm, when they act differently than intended or fail. For example, in the Netherlands the authorities used an AI system which falsely claimed that an estimated 26,000 parents made fraudulent claims for child care benefits. The false allegations led to hardship for many poor families, and also resulted in the resignation of the Dutch government in 2021. 13

As AI becomes more powerful, the possible negative impacts could become much larger. Many of these risks have rightfully received public attention: more powerful AI could lead to mass labor displacement, or extreme concentrations of power and wealth. In the hands of autocrats, it could empower totalitarianism through its suitability for mass surveillance and control.

The so-called alignment problem of AI is another extreme risk. This is the concern that nobody would be able to control a powerful AI system, even if the AI takes actions that harm us humans, or humanity as a whole. This risk is unfortunately receiving little attention from the wider public, but it is seen as an extremely large risk by many leading AI researchers. 14

How could an AI possibly escape human control and end up harming humans?

The risk is not that an AI becomes self-aware, develops bad intentions, and “chooses” to do this. The risk is that we try to instruct the AI to pursue some specific goal – even a very worthwhile one – and in the pursuit of that goal it ends up harming humans. It is about unintended consequences. The AI does what we told it to do, but not what we wanted it to do.

Can’t we just tell the AI to not do those things? It is definitely possible to build an AI that avoids any particular problem we foresee, but it is hard to foresee all the possible harmful unintended consequences. The alignment problem arises because of “the impossibility of defining true human purposes correctly and completely,” as AI researcher Stuart Russell puts it. 15

Can’t we then just switch off the AI? This might also not be possible. That is because a powerful AI would know two things: it faces a risk that humans could turn it off, and it can’t achieve its goals once it has been turned off. As a consequence, the AI will pursue a very fundamental goal of ensuring that it won’t be switched off. This is why, once we realize that an extremely intelligent AI is causing unintended harm in the pursuit of some specific goal, it might not be possible to turn it off or change what the system does. 16

This risk – that humanity might not be able to stay in control once AI becomes very powerful, and that this might lead to an extreme catastrophe – has been recognized right from the early days of AI research more than 70 years ago. 17 The very rapid development of AI in recent years has made a solution to this problem much more urgent.

I have tried to summarize some of the risks of AI, but a short article is not enough space to address all possible questions. Especially on the very worst risks of AI systems, and what we can do now to reduce them, I recommend reading the book The Alignment Problem by Brian Christian and Benjamin Hilton’s article ‘Preventing an AI-related catastrophe’ .

If we manage to avoid these risks, transformative AI could also lead to very positive consequences. Advances in science and technology were crucial to the many positive developments in humanity’s history. If artificial ingenuity can augment our own, it could help us make progress on the many large problems we face: from cleaner energy, to the replacement of unpleasant work, to much better healthcare.

This extremely large contrast between the possible positives and negatives makes clear that the stakes are unusually high with this technology. Reducing the negative risks and solving the alignment problem could mean the difference between a healthy, flourishing, and wealthy future for humanity – and the destruction of the same.

How can we make sure that the development of AI goes well?

Making sure that the development of artificial intelligence goes well is not just one of the most crucial questions of our time, but likely one of the most crucial questions in human history. This needs public resources – public funding, public attention, and public engagement.

Currently, almost all resources that are dedicated to AI aim to speed up the development of this technology. Efforts that aim to increase the safety of AI systems, on the other hand, do not receive the resources they need. Researcher Toby Ord estimated that in 2020 between $10 to $50 million was spent on work to address the alignment problem. 18 Corporate AI investment in the same year was more than 2000-times larger, it summed up to $153 billion.

This is not only the case for the AI alignment problem. The work on the entire range of negative social consequences from AI is under-resourced compared to the large investments to increase the power and use of AI systems.

It is frustrating and concerning for society as a whole that AI safety work is extremely neglected and that little public funding is dedicated to this crucial field of research. On the other hand, for each individual person this neglect means that they have a good chance to actually make a positive difference, if they dedicate themselves to this problem now. And while the field of AI safety is small, it does provide good resources on what you can do concretely if you want to work on this problem.

I hope that more people dedicate their individual careers to this cause, but it needs more than individual efforts. A technology that is transforming our society needs to be a central interest of all of us. As a society we have to think more about the societal impact of AI, become knowledgeable about the technology, and understand what is at stake.

When our children look back at today, I imagine that they will find it difficult to understand how little attention and resources we dedicated to the development of safe AI. I hope that this changes in the coming years, and that we begin to dedicate more resources to making sure that powerful AI gets developed in a way that benefits us and the next generations.

If we fail to develop this broad-based understanding, then it will remain the small elite that finances and builds this technology that will determine how one of the – or plausibly the – most powerful technology in human history will transform our world.

If we leave the development of artificial intelligence entirely to private companies, then we are also leaving it up these private companies what our future — the future of humanity — will be.

With our work at Our World in Data we want to do our small part to enable a better informed public conversation on AI and the future we want to live in. You can find these resources on OurWorldinData.org/artificial-intelligence

Acknowledgements: I would like to thank my colleagues Daniel Bachler, Charlie Giattino, and Edouard Mathieu for their helpful comments to drafts of this essay.

This problem becomes even larger when we try to imagine how a future with a human-level AI might play out. Any particular scenario will not only involve the idea that this powerful AI exists, but a whole range of additional assumptions about the future context in which this happens. It is therefore hard to communicate a scenario of a world with human-level AI that does not sound contrived, bizarre or even silly.

Both of these concepts are widely used in the scientific literature on artificial intelligence. For example, questions about the timelines for the development of future AI are often framed using these terms. See my article on this topic .

The fact that humans are capable of a range of intellectual tasks means that you arrive at different definitions of intelligence depending on which aspect within that range you focus on (the Wikipedia entry on intelligence , for example, lists a number of definitions from various researchers and different disciplines). As a consequence there are also various definitions of ‘human-level AI’.

There are also several closely related terms: Artificial General Intelligence, High-Level Machine Intelligence, Strong AI, or Full AI are sometimes synonymously used, and sometimes defined in similar, yet different ways. In specific discussions, it is necessary to define this concept more narrowly; for example, in studies on AI timelines researchers offer more precise definitions of what human-level AI refers to in their particular study.

Peter Norvig and Stuart Russell (2021) — Artificial Intelligence: A Modern Approach. Fourth edition. Published by Pearson.

The AI system AlphaGo , and its various successors, won against Go masters. The AI system Pluribus beat humans at no-limit Texas hold 'em poker. The AI system Cicero can strategize and use human language to win the strategy game Diplomacy. See: Meta Fundamental AI Research Diplomacy Team (FAIR), Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, et al. (2022) – ‘Human-Level Play in the Game of Diplomacy by Combining Language Models with Strategic Reasoning’. In Science 0, no. 0 (22 November 2022): eade9097. https://doi.org/10.1126/science.ade9097 .

This also poses a problem when we evaluate how the intelligence of a machine compares with the intelligence of humans. If intelligence was a general ability, a single capacity, then we could easily compare and evaluate it, but the fact that it is a range of skills makes it much more difficult to compare across machine and human intelligence. Tests for AI systems are therefore comprising a wide range of tasks. See for example Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt (2020) –  Measuring Massive Multitask Language Understanding or the definition of what would qualify as artificial general intelligence in this Metaculus prediction .

An overview of how AI systems can fail can be found in Charles Choi – 7 Revealing Ways AIs Fail . It is also worth reading through the AIAAIC Repository which “details recent incidents and controversies driven by or relating to AI, algorithms, and automation."

I have taken this example from AI researcher François Chollet , who published it here .

Via François Chollet , who published it here . Based on Chollet’s comments it seems that this image was created by the AI system ‘Stable Diffusion’.

This quote is from Holden Karnofsky (2021) – AI Timelines: Where the Arguments, and the "Experts," Stand . For Holden Karnofsky’s earlier thinking on this conceptualization of AI see his 2016 article ‘Some Background on Our Views Regarding Advanced Artificial Intelligence’ .

Ajeya Cotra, whose research on AI timelines I discuss in other articles of this series, attempts to give a quantitative definition of what would qualify as transformative AI. in her widely cited report on AI timelines she defines it as a change in software technology that brings the growth rate of gross world product "to 20%-30% per year". Several other researchers define TAI in similar terms.

Human-level AI is typically defined as a software system that can carry out at least 90% or 99% of all economically relevant tasks that humans carry out. A lower-bar definition would be an AI system that can carry out all those tasks that can currently be done by another human who is working remotely on a computer.

On the use of AI in politically-motivated disinformation campaigns see for example John Villasenor (November 2020) – How to deal with AI-enabled disinformation . More generally on this topic see Brundage and Avin et al. (2018) – The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation, published at maliciousaireport.com . A starting point for literature and reporting on mass surveillance by governments is the relevant Wikipedia entry .

See for example the Wikipedia entry on the ‘Dutch childcare benefits scandal’ and Melissa Heikkilä (2022) – ‘Dutch scandal serves as a warning for Europe over risks of using algorithms’ , in Politico. The technology can also reinforce discrimination in terms of race and gender. See Brian Christian’s book The Alignment Problem and the reports of the AI Now Institute .

Overviews are provided in Stuart Russell (2019) – Human Compatible (especially chapter 5) and Brian Christian’s 2020 book The Alignment Problem . Christian presents the thinking of many leading AI researchers from the earliest days up to now and presents an excellent overview of this problem. It is also seen as a large risk by some of the leading private firms who work towards powerful AI – see OpenAI's article " Our approach to alignment research " from August 2022.

Stuart Russell (2019) – Human Compatible

A question that follows from this is, why build such a powerful AI in the first place?

The incentives are very high. As I emphasize below, this innovation has the potential to lead to very positive developments. In addition to the large social benefits there are also large incentives for those who develop it – the governments that can use it for their goals, the individuals who can use it to become more powerful and wealthy. Additionally, it is of scientific interest and might help us to understand our own mind and intelligence better. And lastly, even if we wanted to stop building powerful AIs, it is likely very hard to actually achieve it. It is very hard to coordinate across the whole world and agree to stop building more advanced AI – countries around the world would have to agree and then find ways to actually implement it.

In 1950 the computer science pioneer Alan Turing put it like this: “If a machine can think, it might think more intelligently than we do, and then where should we be? … [T]his new danger is much closer. If it comes at all it will almost certainly be within the next millennium. It is remote but not astronomically remote, and is certainly something which can give us anxiety. It is customary, in a talk or article on this subject, to offer a grain of comfort, in the form of a statement that some particularly human characteristic could never be imitated by a machine. … I cannot offer any such comfort, for I believe that no such bounds can be set.” Alan. M. Turing (1950) – Computing Machinery and Intelligence , In Mind, Volume LIX, Issue 236, October 1950, Pages 433–460.

Norbert Wiener is another pioneer who saw the alignment problem very early. One way he put it was “If we use, to achieve our purposes, a mechanical agency with whose operation we cannot interfere effectively … we had better be quite sure that the purpose put into the machine is the purpose which we really desire.” quoted from Norbert Wiener (1960) – Some Moral and Technical Consequences of Automation: As machines learn they may develop unforeseen strategies at rates that baffle their programmers. In Science.

In 1950 – the same year in which Turing published the cited article – Wiener published his book The Human Use of Human Beings, whose front-cover blurb reads: “The ‘mechanical brain’ and similar machines can destroy human values or enable us to realize them as never before.”

Toby Ord – The Precipice . He makes this projection in footnote 55 of chapter 2. It is based on the 2017 estimate by Farquhar.

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• Technology Essay

Essay on Technology

The word "technology" and its uses have immensely changed since the 20th century, and with time, it has continued to evolve ever since. We are living in a world driven by technology. The advancement of technology has played an important role in the development of human civilization, along with cultural changes. Technology provides innovative ways of doing work through various smart and innovative means. 

Electronic appliances, gadgets, faster modes of communication, and transport have added to the comfort factor in our lives. It has helped in improving the productivity of individuals and different business enterprises. Technology has brought a revolution in many operational fields. It has undoubtedly made a very important contribution to the progress that mankind has made over the years.

The Advancement of Technology:

Technology has reduced the effort and time and increased the efficiency of the production requirements in every field. It has made our lives easy, comfortable, healthy, and enjoyable. It has brought a revolution in transport and communication. The advancement of technology, along with science, has helped us to become self-reliant in all spheres of life. With the innovation of a particular technology, it becomes part of society and integral to human lives after a point in time.

Technology is Our Part of Life:

Technology has changed our day-to-day lives. Technology has brought the world closer and better connected. Those days have passed when only the rich could afford such luxuries. Because of the rise of globalisation and liberalisation, all luxuries are now within the reach of the average person. Today, an average middle-class family can afford a mobile phone, a television, a washing machine, a refrigerator, a computer, the Internet, etc. At the touch of a switch, a man can witness any event that is happening in far-off places.  

Benefits of Technology in All Fields: 

We cannot escape technology; it has improved the quality of life and brought about revolutions in various fields of modern-day society, be it communication, transportation, education, healthcare, and many more. Let us learn about it.

Technology in Communication:

With the advent of technology in communication, which includes telephones, fax machines, cellular phones, the Internet, multimedia, and email, communication has become much faster and easier. It has transformed and influenced relationships in many ways. We no longer need to rely on sending physical letters and waiting for several days for a response. Technology has made communication so simple that you can connect with anyone from anywhere by calling them via mobile phone or messaging them using different messaging apps that are easy to download.

Innovation in communication technology has had an immense influence on social life. Human socialising has become easier by using social networking sites, dating, and even matrimonial services available on mobile applications and websites.

Today, the Internet is used for shopping, paying utility bills, credit card bills, admission fees, e-commerce, and online banking. In the world of marketing, many companies are marketing and selling their products and creating brands over the internet. 

In the field of travel, cities, towns, states, and countries are using the web to post detailed tourist and event information. Travellers across the globe can easily find information on tourism, sightseeing, places to stay, weather, maps, timings for events, transportation schedules, and buy tickets to various tourist spots and destinations.

Technology in the Office or Workplace:

Technology has increased efficiency and flexibility in the workspace. Technology has made it easy to work remotely, which has increased the productivity of the employees. External and internal communication has become faster through emails and apps. Automation has saved time, and there is also a reduction in redundancy in tasks. Robots are now being used to manufacture products that consistently deliver the same product without defect until the robot itself fails. Artificial Intelligence and Machine Learning technology are innovations that are being deployed across industries to reap benefits.

Technology has wiped out the manual way of storing files. Now files are stored in the cloud, which can be accessed at any time and from anywhere. With technology, companies can make quick decisions, act faster towards solutions, and remain adaptable. Technology has optimised the usage of resources and connected businesses worldwide. For example, if the customer is based in America, he can have the services delivered from India. They can communicate with each other in an instant. Every company uses business technology like virtual meeting tools, corporate social networks, tablets, and smart customer relationship management applications that accelerate the fast movement of data and information.

Technology in Education:

Technology is making the education industry improve over time. With technology, students and parents have a variety of learning tools at their fingertips. Teachers can coordinate with classrooms across the world and share their ideas and resources online. Students can get immediate access to an abundance of good information on the Internet. Teachers and students can access plenty of resources available on the web and utilise them for their project work, research, etc. Online learning has changed our perception of education. 

The COVID-19 pandemic brought a paradigm shift using technology where school-going kids continued their studies from home and schools facilitated imparting education by their teachers online from home. Students have learned and used 21st-century skills and tools, like virtual classrooms, AR (Augmented Reality), robots, etc. All these have increased communication and collaboration significantly. 

Technology in Banking:

Technology and banking are now inseparable. Technology has boosted digital transformation in how the banking industry works and has vastly improved banking services for their customers across the globe.

Technology has made banking operations very sophisticated and has reduced errors to almost nil, which were somewhat prevalent with manual human activities. Banks are adopting Artificial Intelligence (AI) to increase their efficiency and profits. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. 

You can now access your money, handle transactions like paying bills, money transfers, and online purchases from merchants, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe. You do not need to carry cash in your pocket or wallet; the payments can be made digitally using e-wallets. Mobile banking, banking apps, and cybersecurity are changing the face of the banking industry.

Manufacturing and Production Industry Automation:

At present, manufacturing industries are using all the latest technologies, ranging from big data analytics to artificial intelligence. Big data, ARVR (Augmented Reality and Virtual Reality), and IoT (Internet of Things) are the biggest manufacturing industry players. Automation has increased the level of productivity in various fields. It has reduced labour costs, increased efficiency, and reduced the cost of production.

For example, 3D printing is used to design and develop prototypes in the automobile industry. Repetitive work is being done easily with the help of robots without any waste of time. This has also reduced the cost of the products. 

Technology in the Healthcare Industry:

Technological advancements in the healthcare industry have not only improved our personal quality of life and longevity; they have also improved the lives of many medical professionals and students who are training to become medical experts. It has allowed much faster access to the medical records of each patient. 

The Internet has drastically transformed patients' and doctors’ relationships. Everyone can stay up to date on the latest medical discoveries, share treatment information, and offer one another support when dealing with medical issues. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many sites and apps through which we can contact doctors and get medical help. 

Breakthrough innovations in surgery, artificial organs, brain implants, and networked sensors are examples of transformative developments in the healthcare industry. Hospitals use different tools and applications to perform their administrative tasks, using digital marketing to promote their services.

Technology in Agriculture:

Today, farmers work very differently than they would have decades ago. Data analytics and robotics have built a productive food system. Digital innovations are being used for plant breeding and harvesting equipment. Software and mobile devices are helping farmers harvest better. With various data and information available to farmers, they can make better-informed decisions, for example, tracking the amount of carbon stored in soil and helping with climate change.

Disadvantages of Technology:

People have become dependent on various gadgets and machines, resulting in a lack of physical activity and tempting people to lead an increasingly sedentary lifestyle. Even though technology has increased the productivity of individuals, organisations, and the nation, it has not increased the efficiency of machines. Machines cannot plan and think beyond the instructions that are fed into their system. Technology alone is not enough for progress and prosperity. Management is required, and management is a human act. Technology is largely dependent on human intervention. 

Computers and smartphones have led to an increase in social isolation. Young children are spending more time surfing the internet, playing games, and ignoring their real lives. Usage of technology is also resulting in job losses and distracting students from learning. Technology has been a reason for the production of weapons of destruction.

Dependency on technology is also increasing privacy concerns and cyber crimes, giving way to hackers.

FAQs on Technology Essay

1. What is technology?

Technology refers to innovative ways of doing work through various smart means. The advancement of technology has played an important role in the development of human civilization. It has helped in improving the productivity of individuals and businesses.

2. How has technology changed the face of banking?

Technology has made banking operations very sophisticated. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. You can now access your money, handle transactions, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe.

3. How has technology brought a revolution in the medical field?

Patients and doctors keep each other up to date on the most recent medical discoveries, share treatment information, and offer each other support when dealing with medical issues. It has allowed much faster access to the medical records of each patient. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many websites and mobile apps through which we can contact doctors and get medical help.

4. Are we dependent on technology?

Yes, today, we are becoming increasingly dependent on technology. Computers, smartphones, and modern technology have helped humanity achieve success and progress. However, in hindsight, people need to continuously build a healthy lifestyle, sorting out personal problems that arise due to technological advancements in different aspects of human life.

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Karunaratne, Indika & Atukorale, Ajantha & Perera, Hemamali. (2011). Surveillance of human- computer interactions: A way forward to detection of users' Psychological Distress. 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011. 10.1109/CHUSER.2011.6163779.

June 9, 2023 / 0 comments / Reading Time: ~ 12 minutes

The Digital Revolution: How Technology is Changing the Way We Communicate and Interact

This article examines the impact of technology on human interaction and explores the ever-evolving landscape of communication. With the rapid advancement of technology, the methods and modes of communication have undergone a significant transformation. This article investigates both the positive and negative implications of this digitalization. Technological innovations, such as smartphones, social media, and instant messaging apps, have provided unprecedented accessibility and convenience, allowing people to connect effortlessly across distances. However, concerns have arisen regarding the quality and authenticity of these interactions. The article explores the benefits of technology, including improved connectivity, enhanced information sharing, and expanded opportunities for collaboration. It also discusses potential negative effects including a decline in in-person interactions, a loss of empathy, and an increase in online anxiety. This article tries to expand our comprehension of the changing nature of communication in the digital age by exposing the many ways that technology has an impact on interpersonal interactions. It emphasizes the necessity of intentional and thoughtful communication techniques to preserve meaningful connections in a society that is becoming more and more reliant on technology.

Introduction:

Technology has significantly transformed our modes of communication and interaction, revolutionizing the way we connect with one another over the past few decades. However, the COVID-19 pandemic has acted as a catalyst, expediting this transformative process, and necessitating our exclusive reliance on digital tools for socializing, working, and learning. Platforms like social media and video conferencing have emerged in recent years, expanding our options for virtual communication. The impact of these changes on our lives cannot be ignored. In this article, we will delve into the ways in which technology has altered our communication and interaction patterns and explore the consequences of these changes for our relationships, mental well-being, and society.

To gain a deeper understanding of this topic, I have conducted interviews and surveys, allowing us to gather firsthand insights from individuals of various backgrounds. Additionally, we will compare this firsthand information with the perspectives shared by experts in the field. By drawing on both personal experiences and expert opinions, we seek to provide a comprehensive analysis of how technology influences our interpersonal connections. Through this research, we hope to get a deeper comprehension of the complex interactions between technology and people, enabling us to move mindfully and purposefully through the rapidly changing digital environment.

The Evolution of Communication: From Face-to-Face to Digital Connections:

In the realm of communication, we have various mediums at our disposal, such as face-to-face interactions, telephone conversations, and internet-based communication. According to Nancy Baym, an expert in the field of technology and human connections, face-to-face communication is often regarded as the most personal and intimate, while the phone provides a more personal touch than the internet. She explains this in her book Personal Connections in the Digital Age by stating, “Face-to-face is much more personal; phone is personal as well, but not as intimate as face-to-face… Internet would definitely be the least personal, followed by the phone (which at least has the vocal satisfaction) and the most personal would be face-to-face” (Baym 2015).  These distinctions suggest that different communication mediums are perceived to have varying levels of effectiveness in conveying emotion and building relationships. This distinction raises thought-provoking questions about the impact of technology on our ability to forge meaningful connections. While the internet offers unparalleled convenience and connectivity, it is essential to recognize its limitations in reproducing the depth of personal interaction found in face-to-face encounters. These limitations may be attributed to the absence of nonverbal cues, such as facial expressions, body language, and tone of voice, which are vital elements in understanding and interpreting emotions accurately.

Traditionally, face-to-face interactions held a prominent role as the primary means of communication, facilitating personal and intimate connections. However, the rise of technology has brought about significant changes, making communication more convenient but potentially less personal. The rise of phones, instant messaging, and social media platforms has revolutionized how we connect with others. While these digital tools offer instant connectivity and enable us to bridge geographical distances, they introduce a layer of blockage that may impact the depth and quality of our interactions. It is worth noting that different communication mediums have their strengths and limitations. Phone conversations, for instance, retain a certain level of personal connection through vocal interactions, allowing for the conveyance of emotions and tones that text-based communication may lack. However, even with this advantage, phone conversations still fall short of the depth and richness found in face-to-face interactions, as they lack visual cues and physical presence.

Internet-based communication, on the other hand, is considered the least personal medium. Online interactions often rely on text-based exchanges, which may not fully capture the nuances of expression, tone, and body language. While the internet offers the ability to connect with a vast network of individuals and share information on a global scale, it may not facilitate the same depth and authenticity that in-person or phone conversations can provide. As a result, establishing meaningful connections and building genuine relationships in an online setting can be challenging. Research and observations support these ideas. Figure 1. titled “Social Interaction after Electronic Media Use,” shows the potential impact of electronic media on social interaction (source: ResearchGate). This research highlights the need to carefully consider the effects of technology on our interpersonal connections. While technology offers convenience and connectivity, it is essential to strike a balance, ensuring that we do not sacrifice the benefits of face-to-face interactions for the sake of digital convenience.

Figure 1:  Increased reliance on electronic media has led to a noticeable decrease in social interaction.

The Limitations and Effects of Digital Communication

In today’s digital age, the limitations and effects of digital communication are becoming increasingly evident. While the phone and internet offer undeniable benefits such as convenience and the ability to connect with people regardless of geographical distance, they fall short in capturing the depth and richness of a face-to-face conversation. The ability to be in the same physical space as the person we’re communicating with, observing their facial expressions, body language, and truly feeling their presence, is something unique and irreplaceable.

Ulrike Schultze, in her thought-provoking TED Talk titled “How Social Media Shapes Identity,” delves further into the impact of digital communication on our lives by stating, “we construct the technology, but the technology also constructs us. We become what technology allows us to become” (Schultze 2015). This concept highlights how our reliance on digital media for interaction has led to a transformation in how we express ourselves and relate to others.

The influence of social media has been profound in shaping our communication patterns and interpersonal dynamics. Research conducted by Kalpathy Subramanian (2017) examined the influence of social media on interpersonal communication, highlighting the changes it brings to the way we interact and express ourselves (Subramanian 2017). The study found that online communication often involves the use of abbreviations, emoticons, and hashtags, which have become embedded in our online discourse. These digital communication shortcuts prioritize speed and efficiency, but they also contribute to a shift away from the physical action of face-to-face conversation, where nonverbal cues and deeper emotional connections can be fostered.

Additionally, the study emphasizes the impact of social media on self-presentation and identity construction. With the rise of platforms like Facebook, Instagram, and Twitter, individuals have a platform to curate and present themselves to the world. This online self-presentation can influence how we perceive ourselves and how others perceive us, potentially shaping our identities in the process. The study further suggests that the emphasis on self-presentation and the pressure to maintain a certain image on social media can lead to increased stress and anxiety among users.

Interviews:

I conducted interviews with individuals from different age groups to gain diverse perspectives on how technology and social media have transformed the way we connect with others. By exploring the experiences of a 21-year-old student and an individual in their 40s, we can better understand the evolving dynamics of interpersonal communication in the digital age. These interviews shed light on the prevalence of digital communication among younger generations, their preference for convenience, and the concerns raised by individuals from older age groups regarding the potential loss of deeper emotional connections.

When I asked the 21-year-old classmate about how technology has changed the way they interact with people in person, they expressed, “To be honest, I spend more time texting, messaging, or posting on social media than actually talking face-to-face with others. It’s just so much more convenient.” This response highlights the prevalence of digital communication among younger generations and their preference for convenience over traditional face-to-face interactions. It suggests that technology has significantly transformed the way young people engage with others, with a greater reliance on virtual interactions rather than in-person conversations. Additionally, the mention of convenience as a driving factor raises questions about the potential trade-offs in terms of depth and quality of interpersonal connections.

To gain insight from an individual in their 40s, I conducted another interview. When asked about their experiences with technology and social media, they shared valuable perspectives. They mentioned that while they appreciate the convenience and accessibility offered by technology, they also expressed concerns about its impact on interpersonal connections. They emphasized the importance of face-to-face interactions in building genuine relationships and expressed reservations about the potential loss of deeper emotional connections in digital communication. Additionally, they discussed the challenges of adapting to rapid technological advancements and the potential generational divide in communication preferences.

Comparing the responses from both interviews, it is evident that there are generational differences in the perception and use of technology for communication. While the 21-year-old classmate emphasized convenience as a primary factor in favor of digital communication, the individual in their 40s highlighted the importance of face-to-face interactions and expressed concerns about the potential loss of meaningful connections in the digital realm. This comparison raises questions about the potential impact of technology on the depth and quality of interpersonal relationships across different age groups. It also invites further exploration into how societal norms and technological advancements shape individuals’ preferences and experiences.

Overall, the interviews revealed a shift towards digital communication among both younger and older individuals, with varying perspectives. While convenience and connectivity are valued, concerns were raised regarding the potential drawbacks, including the pressure to maintain an idealized online presence and the potential loss of genuine connections. It is evident that technology and social media have transformed the way we communicate and interact with others, but the interviews also highlighted the importance of maintaining a balance and recognizing the value of face-to-face interactions in fostering meaningful relationships.

I have recently conducted a survey with my classmates to gather insights on how technology and social media have influenced communication and interaction among students in their daily lives. Although the number of responses is relatively small, the collected data allows us to gain a glimpse into individual experiences and perspectives on this matter.

One of the questions asked in the survey was how often students rely on digital communication methods, such as texting, messaging, or social media, in comparison to engaging in face-to-face conversations. The responses indicated a clear trend towards increased reliance on digital communication, with 85% of participants stating that they frequently use digital platforms as their primary means of communication. This suggests a significant shift away from traditional face-to-face interactions, highlighting the pervasive influence of technology in shaping our communication habits.

Furthermore, the survey explored changes in the quality of interactions and relationships due to the increased use of technology and social media. Interestingly, 63% of respondents reported that they had noticed a decrease in the depth and intimacy of their connections since incorporating more digital communication into their lives. Many participants expressed concerns about the difficulty of conveying emotions effectively through digital channels and the lack of non-verbal cues that are present in face-to-face interactions. It is important to note that while the survey results provide valuable insights into individual experiences, they are not representative of the entire student population. The small sample size limits the generalizability of the findings. However, the data collected does shed light on the potential impact of technology and social media on communication and interaction patterns among students.

Expanding on the topic, I found an insightful figure from Business Insider that sheds light on how people utilize their smartphones (Business Insider). Figure 2. illustrates the average smartphone owner’s daily time spent on various activities. Notably, communication activities such as texting, talking, and social networking account for a significant portion, comprising 59% of phone usage. This data reinforces the impact of digital communication on our daily lives, indicating the substantial role it plays in shaping our interactions with others.  Upon comparing this research with the data, I have gathered, a clear trend emerges, highlighting that an increasing number of individuals primarily utilize their smartphones for communication and interaction purposes.

Figure 2: The breakdown of daily smartphone usage among average users clearly demonstrates that the phone is primarily used for interactions.

The Digital Make Over:

In today’s digital age, the impact of technology on communication and interaction is evident, particularly in educational settings. As a college student, I have witnessed the transformation firsthand, especially with the onset of the COVID-19 pandemic. The convenience of online submissions for assignments has led to a growing trend of students opting to skip physical classes, relying on the ability to submit their work remotely. Unfortunately, this shift has resulted in a decline in face-to-face interactions and communication among classmates and instructors.

The decrease in physical attendance raises concerns about the potential consequences for both learning and social connections within the academic community. Classroom discussions, collaborative projects, and networking opportunities are often fostered through in-person interactions. By limiting these experiences, students may miss out on valuable learning moments, diverse perspectives, and the chance to establish meaningful connections with their peers and instructors.

Simon Lindgren, in his thought-provoking Ted Talk , “Media Are Not Social, but People Are,” delves deeper into the effects of technology and social media on our interactions. Lindgren highlights a significant point by suggesting that while technology may have the potential to make us better individuals, we must also recognize its potential pitfalls. Social media, for instance, can create filter bubbles that limit our exposure to diverse viewpoints, making us less in touch with reality and more narrow-minded. This cautionary reminder emphasizes the need to approach social media thoughtfully, seeking out diverse perspectives and avoiding the pitfalls of echo chambers. Furthermore, it is crucial to strike a balance between utilizing technology for educational purposes and embracing the benefits of in-person interactions. While technology undoubtedly facilitates certain aspects of education, such as online learning platforms and digital resources, we must not overlook the importance of face-to-face communication. In-person interactions allow for nuanced non-verbal cues, deeper emotional connections, and real-time engagement that contribute to a more comprehensive learning experience.

A study conducted by Times Higher Education delved into this topic, providing valuable insights. Figure 3. from the study illustrates a significant drop in attendance levels after the pandemic’s onset. Undeniably, technology played a crucial role in facilitating the transition to online learning. However, it is important to acknowledge that this shift has also led to a decline in face-to-face interactions, which have long been regarded as essential for effective communication and relationship-building. While technology continues to evolve and reshape the educational landscape, it is imperative that we remain mindful of its impact on communication and interaction. Striking a balance between digital tools and in-person engagement can help ensure that we leverage the benefits of technology while preserving the richness of face-to-face interactions. By doing so, we can foster a holistic educational experience that encompasses the best of both worlds and cultivates meaningful connections among students, instructors, and the academic community.

Figure 3:  This graph offers convincing proof that the COVID-19 pandemic and the extensive use of online submission techniques are to blame for the sharp reduction in in-person student attendance.

When asked about the impact of online submissions for assignments on physical attendance in classes, the survey revealed mixed responses. While 73% of participants admitted that the convenience of online submissions has led them to skip classes occasionally, 27% emphasized the importance of in-person attendance for better learning outcomes and social interactions. This finding suggests that while technology offers convenience, it also poses challenges in maintaining regular face-to-face interactions, potentially hindering educational and social development, and especially damaging the way we communicate and interact with one another. Students are doing this from a young age, and it comes into huge effect once they are trying to enter the work force and interact with others. When examining the survey data alongside the findings from Times Higher Education, striking similarities become apparent regarding how students approach attending classes in person with the overall conclusion being a massive decrease in students attending class which hinders the chance for real life interaction and communication. the convenience and instant gratification provided by technology can create a sense of detachment and impatience in interpersonal interactions. Online platforms allow for quick and immediate responses, and individuals can easily disconnect or switch between conversations. This can result in a lack of attentiveness and reduced focus on the person with whom one is communicating, leading to a superficial engagement that may hinder the establishment of genuine connections.

Conclusion:

Ultimately, the digital revolution has profoundly transformed the way we communicate and interact with one another. The COVID-19 pandemic has accelerated this transformation, leading to increased reliance on digital tools for socializing, working, and learning. While technology offers convenience and connectivity, it also introduces limitations and potential drawbacks. The shift towards digital communication raises concerns about the depth and quality of our connections, as well as the potential loss of face-to-face interactions. However, it is essential to strike a balance between digital and in-person engagement, recognizing the unique value of physical presence, non-verbal cues, and deeper emotional connections that face-to-face interactions provide. By navigating the digital landscape with mindfulness and intentionality, we can harness the transformative power of technology while preserving and nurturing the essential elements of human connection.

Moving forward, it is crucial to consider the impact of technology on our relationships, mental well-being, and society. As technology continues to evolve, we must be cautious of its potential pitfalls, such as the emphasis on self-presentation, the potential for increased stress and anxiety, and the risk of forgetting how to interact in person. Striking a balance between digital and face-to-face interactions can help ensure that technology enhances, rather than replaces, genuine human connections. By prioritizing meaningful engagement, valuing personal interactions, and leveraging the benefits of technology without compromising the depth and quality of our relationships, we can navigate the digital revolution in a way that enriches our lives and fosters authentic connections.

References:

Ballve, M. (2013, June 5). How much time do we really spend on our smartphones every day? Business Insider. Retrieved April 27, 2023. https://www.businessinsider.com/how-much-time-do-we-spend-on-smartphones-2013-6

Baym, N. (2015). Personal Connections in the Digital Age (2nd ed.). Polity.

Karunaratne, Indika & Atukorale, Ajantha & Perera, Hemamali. (2011). Surveillance of human-       computer interactions: A way forward to detection of users’ Psychological Distress. 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011.             10.1109/CHUSER.2011.6163779.  https://www.researchgate.net/figure/Social-interaction-vs-electronic-media-use-Hours-per-day-of-face-to-face-social_fig1_254056654

Lindgren, S. (2015, May 20). Media are not social, but people are | Simon Lindgren | TEDxUmeå . YouTube. Retrieved April 27, 2023, from https://www.youtube.com/watch?v=nQ5S7VIWE6k

Ross, J., McKie, A., Havergal, C., Lem, P., & Basken, P. (2022, October 24). Class attendance plummets post-Covid . Times Higher Education (THE). Retrieved April 27, 2023, from https://www.timeshighereducation.com/news/class-attendance-plummets-post-covid

Schultze, U. (2015, April 23). How social media shapes identity | Ulrike Schultze | TEDxSMU . YouTube. Retrieved April 27, 2023, from https://www.youtube.com/watch?v=CSpyZor-Byk

Subramanian, Dr. K .R. “Influence of Social Media in Interpersonal Communication – Researchgate.” ResearchGate.Net , www.researchgate.net/profile/Kalpathy-Subramanian/publication/319422885_Influence_of_Social_Media_in_Interpersonal_Communication/links/59a96d950f7e9b2790120fea/Influence-of-Social-Media-in-Interpersonal-Communication.pdf. Accessed 12 May 2023 .

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Davos 2023: Eight ways technology will impact our lives in the future

The next generation will live a very different life to us, thanks to technology. Image:  Pexels/ThisIsEngineering

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• Technology will be a vital tool for creating a cleaner, safer and more inclusive world, but what changes can we expect to see?
• Panelists on the Technology for a More Resilient World session at Davos discussed future trends and developments in tech.
• Be it the metaverse, smart glasses or large language models, the world as we know it may never be quite as we first imagined it.

Technology can be an important tool in the transition to a cleaner, safer and more inclusive world. But what strategic opportunities are there for technology to be an accelerator of progress and how is it likely to affect the next generation?

Leaders gathered on day two of Davos to talk about how technology and platforms will change the world, what tech trends and developments we’re likely to see, and even provide a glimpse into what our grandchildren can expect in future.

The Technology for a More Resilient World session featured Nicholas Thompson, CEO, The Atlantic; Sunil Bharti Mittal, Chairman, Bharti Enterprises; Arvind Krishna, Chairman and CEO, IBM Corporation; Julie Sweet, Chair and CEO, Accenture; and Cristiano Amon, President and CEO, Qualcomm Incorporated.

Here’s a selection of what they had to say:

1. Technology is boosting productivity

Businesses are increasingly looking to digitally transform their operations amid an incredible demand for things to be more intelligent and connected, says Cristiano Amon , President and CEO of Qualcomm Incorporated. “I think technology right now, probably more than ever – especially when we talk about the current economic environment – we see that there is this desire of companies to digitally transform and use technology to become more efficient and more productive,” he said.

2. Glasses will overtake mobile phones

The future of computing will become virtual as computing platforms continue to evolve – just as it evolved from personal computers to mobile phones, says Amon . What we now know as the video call, particularly post-COVID, will soon become a holographic image in front of you seen through smart glasses.

“The technology trend is the merging of physical and digital spaces. I think that’s going to be the next computing platform and eventually, it’s going to be as big as phones. We should think about that happening within the decade,” he adds.

Have you read?

How to follow davos 2023, we are closing the gap between technology and policy, 3. the rise of quantum computing.

Quantum computing won’t replace classical computing but it will begin to solve problems in the physical world - materials, chemistry, encryption and optimization problems - within a few years, according to Arvind Krishna , Chairman and CEO, IBM Corporation. Indeed, quantum computing is already so good you may want to think about it now. “I would strongly urge everybody to invest in quantum-proof decryption now for any data, that you really, really care about,” he advises.

4. 5G will create lots more use cases

5G will create a lot of new use cases including drone management, robotic surgery and autonomous vehicles, says Sunil Bharti Mittal , Chairman, Bharti Enterprises. Industrial applications will particularly benefit due to their larger capacity. “In the meanwhile, people will get used to better connections, higher speeds, and lower latency for their regular devices as well,” he adds, before warning: “It’s going to cost a lot of money.”

5. ChatGPT-like tech will become the norm

Large language models will become a given because they lower the cost of artificial intelligence (AI) by allowing you to have multiple models over one base, giving you a speed advantage, says Krishna . “Beyond language is going to be a given, language because code can be a form of language and then you can go to, ‘what else can be a form of language?’ Legal documents, regulatory work etc,” he adds.

6. Great things will need good data

The recent excitement around ChatGPT has demonstrated the potential of having large amounts of data and the great things you do with it, but it has also highlighted the need for ‘good’ data, says Julie Sweet , Chair and CEO, Accenture. “We love what’s going on right now, with everyone talking about it. Because in many cases people have been doubters about why you need to have really clean data connecting to external data, use these then foundational models on specific use cases – a lot is going to be in digital manufacturing, in agriculture, industrial use cases – and it reminds everyone you have to get the data right.”

7. The metaverse is evolving very quickly

The metaverse is evolving faster than expected because it taps into human need while also creating something new, observes Sweet . “With human need, what we’ve discovered is that when you immerse yourself in an experience together, you learn better and you can also do things better,” she says. “We estimate there will be $1 trillion of revenue influenced by the metaverse by 2025.”

8. We will see a democratization of services

Our grandchildren will live in a very different world thanks to the democratization of products and services that are currently only available to the elite or wealthy, predicts Mittal . “Sitting like this, in the metaverse, you’ll probably have a few million people join from around the world, to experience what we’re experiencing today,” he says. “You’re going to see the benefit of technology really impacting people’s lives on a daily basis, and they will live a very different life to us.”

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How Has Technology Changed Education?

Technology has impacted almost every aspect of life today, and education is no exception. Or is it? In some ways, education seems much the same as it has been for many years. A 14th century illustration by Laurentius de Voltolina depicts a university lecture in medieval Italy. The scene is easily recognizable because of its parallels to the modern day. The teacher lectures from a podium at the front of the room while the students sit in rows and listen. Some of the students have books open in front of them and appear to be following along. A few look bored. Some are talking to their neighbors. One appears to be sleeping. Classrooms today do not look much different, though you might find modern students looking at their laptops, tablets, or smart phones instead of books (though probably open to Facebook). A cynic would say that technology has done nothing to change education.

However, in many ways, technology has profoundly changed education. For one, technology has greatly expanded access to education. In medieval times, books were rare and only an elite few had access to educational opportunities. Individuals had to travel to centers of learning to get an education. Today, massive amounts of information (books, audio, images, videos) are available at one’s fingertips through the Internet, and opportunities for formal learning are available online worldwide through the Khan Academy, MOOCs, podcasts, traditional online degree programs, and more. Access to learning opportunities today is unprecedented in scope thanks to technology.

Opportunities for communication and collaboration have also been expanded by technology. Traditionally, classrooms have been relatively isolated, and collaboration has been limited to other students in the same classroom or building. Today, technology enables forms of communication and collaboration undreamt of in the past. Students in a classroom in the rural U.S., for example, can learn about the Arctic by following the expedition of a team of scientists in the region, read scientists’ blog posting, view photos, e-mail questions to the scientists, and even talk live with the scientists via a videoconference. Students can share what they are learning with students in other classrooms in other states who are tracking the same expedition. Students can collaborate on group projects using technology-based tools such as wikis and Google docs. The walls of the classrooms are no longer a barrier as technology enables new ways of learning, communicating, and working collaboratively.

Technology has also begun to change the roles of teachers and learners. In the traditional classroom, such as what we see depicted in de Voltolina’s illustration, the teacher is the primary source of information, and the learners passively receive it. This model of the teacher as the “sage on the stage” has been in education for a long time, and it is still very much in evidence today. However, because of the access to information and educational opportunity that technology has enabled, in many classrooms today we see the teacher’s role shifting to the “guide on the side” as students take more responsibility for their own learning using technology to gather relevant information. Schools and universities across the country are beginning to redesign learning spaces to enable this new model of education, foster more interaction and small group work, and use technology as an enabler.

Technology is a powerful tool that can support and transform education in many ways, from making it easier for teachers to create instructional materials to enabling new ways for people to learn and work together. With the worldwide reach of the Internet and the ubiquity of smart devices that can connect to it, a new age of anytime anywhere education is dawning. It will be up to instructional designers and educational technologies to make the most of the opportunities provided by technology to change education so that effective and efficient education is available to everyone everywhere.

You can help shape the influence of technology in education with an Online Master of Science in Education in Learning Design and Technology from Purdue University Online. This accredited program offers studies in exciting new technologies that are shaping education and offers students the opportunity to take part in the future of innovation.

Learn more about the online MSEd in Learning Design and Technology at Purdue University today and help redefine the way in which individuals learn. Call (877) 497-5851 to speak with an admissions advisor or to request more information.

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How Pew Research Center will report on generations moving forward

Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

• Age & Generations
• Demographic Research
• Generation X
• Generation Z
• Generations
• Greatest Generation
• Methodological Research
• Millennials
• Silent Generation

Kim Parker is director of social trends research at Pew Research Center

How Teens and Parents Approach Screen Time

Who are you the art and science of measuring identity, u.s. centenarian population is projected to quadruple over the next 30 years, older workers are growing in number and earning higher wages, teens, social media and technology 2023, most popular.

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