ieee research papers on artificial intelligence

• IEEE Xplore Digital Library
• IEEE Standards
• IEEE Spectrum

• Publications

Special Issues

Call for papers.

• Special Issue on AI-Enabled Security at the Edge . Guest Editors: Malka N. Halgamuge, RMIT University, Australia; Dipankar Dasgupta, The University of Memphis, USA; Alireza Jolfaei, Flinders University, Australia; Chia-Feng Juang, National Chung Hsing University, Taiwan. Submissions close 31st of January 2024.

Previously Approved Special Issues

• Special Issue on  Conversational AI . Guest Editors: Amir Hussain - Edinburgh Napier University, UK; Oliver Lemon - Heriot-Watt University, UK; Roberto Pieraccini - (formerly) Google NYC, USA; Dong Yu - Tencent AI Lab, USA. Submissions close 1st of October 2023.
• Special Issue on  Responsible AI Engineering . Guest Editors: Qinghua Lu - CSIRO, Australia; Apostol Vassilev - NIST, USA; Jun Zhu - Tsinghua University, China; and Foutse Khomh - Polytechnique Montreal, Canada. Submissions close 1st of October 2023.
• Special Issue on AutoML for Non-Stationary Data . Guest Editors: Ran Cheng - Southern University of Science and Technology, China; Hugo Jair Escalante - National Institute of Astrophysics, Optics and Electronics, Mexico; Jan N. van Rijn - Leiden University, Netherlands; Wei-Wei Tu - 4Paradigm Inc., China; Shuo Wang - University of Birmingham, UK; Yun Yang - Yunnan University, China. Submissions closed 23rd June 2023.
• Special Issue on Physics-Informed Machine Learning . Guest Editors: Francesco Piccialli – University of Naples Federico II, Italy, Maizar Raissi - University of Colorado Boulder, USA, Felipe A.C. Viana – University of Central Florida, USA, Giancarlo Fortino – University of Calabria, Italy, Huimin LU - Kyushu Institute of Technology, Japan, Amir Hussain - School of Computing, Edinburgh Napier University, Scotland. Submissions closed 30th June 2022
• Special Issue on New Developments in Explainable and Interpretable AI . Guest Editors: K.P. (Suba) Subbalakshmi, Stevens Institute of Technology, USA, Wojciech Samek, Fraunhofer Heinrich Hertz Institute HHI, Germany, Xia “Ben” Hu, Rice University, USA. Submissions closed 1st June 2022.
• Special Issue on  AI Methods for Maintenance and Safety of Automation Systems . Guest Editors: Bin Jiang, Nanjing University of Aeronautics and Astronautics, China, Hao Luo, Harbin Institute of Technology, China, Hongtian Chen, University of Alberta, Canada, Nishchal K. Verma, Indian Institute of Technology Kanpur, India. Submissions Closed: 1st of December 2021.
• Special Issue on Artificial Intelligence Ethics: Technical Solutions and Datadriven Guidelines . Guest Editors: Francesca Rossi - T.J. Watson IBM Research Lab, USA, Keeley Crockett - Manchester Metropolitan University, UK, Lirong Xia - ARensselaer Polytechnic Institute (RPI), USA, Matt Garratt -, UNSW Canberra, Australia. Submissions Closed: 31st July, 2021.
• Special Issue on Security and Privacy in Machine Learning . Guest Editors: Wenjian Luo, Harbin Institute of Technology, China, Yaochu Jin, University of Surrey, UK, Catherine Huang, McAfee LLC, USA. Submissions Closed: 15th July 2021.
• Special Issue on Sentiment Analysis as a Multidisciplinary Research Area . Guest Editors: Erik Cambria, Nanyang Technological University, Singapore, Frank Xing, Nanyang Technological University, Singapore, Mike Thelwall, University of Wolverhampton, UK, Roy Welsch, MIT Sloan School of Management, USA. Submissions Closed: 1st March 2021.

Guidelines for Proposals to the IEEE Transactions on Artificial Intelligence

The IEEE Transactions on Artificial Intelligence (TAI) is a multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Applications of Artificial Intelligence are also considered.

Topics covered by IEEE TAI include, but not limited to, Agent-based Systems, Augmented Intelligence, Autonomic Computing, Constraint Systems, Explainable AI, Knowledge-Based Systems, Learning Theories, Planning, Reasoning, Search, Natural Language Processing, and Applications. Technical papers addressing contemporary topics in AI such as Ethics and Social Implications are welcomed.

Editor-in-Chief email: 

        [email protected]

Aims for Special Issues

A special issue needs to have a theme, and is normally addressing either a topic of significant impact (a hot topic), or a topic that has seen sparse publications and there is a value in overcoming the scattered nature of that literature by having a focus and concentrated special issue.

A special issue brings together the state-of-the-art in a particular niche area in artificial intelligence under the roof of one issue in the journal. The thematic nature of a special issue aims to serve as a collection of papers in a single issue for researchers to read and consult.

A special issue that is focusing on a topic, including applications, need to establish the case that this topic is of high significance to the AI community, of high demand, or both. A special issue on a contemporary topic needs to demonstrate the wide range of research in the area to attract a large number of submissions.

How to propose a special issue?

Commence your planning for a special issue by identifying a topic with an appropriate scope. A special issue on Artificial Intelligence will not be accepted as it is too general. A special issue on A* for 3-SAT is likely to be rejected as it is too specific. A special issue on Approximation Algorithms for Satisfiability, Explainable Neural Networks, or Learning Algorithms for Autonomous Vehicles, strikes the right balance. IEEE TAI is a technical journal. A special issue on the ethical and/or social implications of a branch of AI would need to approach the topic with a technical lens.

Once the guest editors have been identified, you will need to develop a proposal with the following contents:

• Title: be specific in the title and reflect the theme of the special issue. The title is the starting point for people to understand the scope of the special issue
• Description: Explain the motivation for the special issue, the state of the art, and the scope.
• List of topics: List an example of the sub-topics that fall under the scope described above. Avoid being too prescriptive. 
• Identify 2-3 leading scientists in this area of research who could write an invited position paper in the area of the special issue. Invitations for invited papers can only be issued by the Editor-in-Chief, and these papers will go through the normal review process of IEEE TAI.
• Timeline: present a reasonable timeline for publication. This is normally 3-4 months to advertise for the special issue, 6-8 weeks to complete first round of review, 4 weeks to allow for authors revision (notice IEEE TAI allows 2 weeks for Minor Revision and 4 weeks for Major Revision. Papers expected to take longer to be revised, a reject and resubmit decision or a final reject decision will be recommended.), 6-8 weeks for a second round of review, and two weeks for authors to submit the final file. From this example, a reasonable time line between the acceptance of a special issue and the acceptance of papers for the special issue is expected to be around 40 weeks. In very special circumstances, this timeframe may become much shorter for topics with significant interest to the community.
• List of Guest Editors: Names, Affiliations, Email Addresses, Websites, Scholar.Google Web Address (optional), Short Bio, and the top 5 papers for each guest editor in the area of the special issue. It is a requirement that one of the Associate Editors for IEEE TAI is one of the guest co-editor. The Associate Editor from TAI will be the associate editor handling the submissions for the special issue. At least one of the remaining guest editors should be an internationally recognised leader in the theme of the special issue. A minimum of two guest editors is needed to propose a special issue to mitigate the risk that one of them becomes unavailable. It also distributes the load on guest editors, while bringing their collective experience to promote and manage a high quality special issue.The total number of guest editors should not exceed four including the Associate Editor from TAI. IEEE TAI encourages diversity in the guest editors, including geographic and inclusion of women and other underrepresented groups as guest editors. 
• List of potential authors, their affiliation, and Scholar.Google link (optional)
• A Conflict of Interest Statement: guest editors should declare any conflict of interest arising from proposing a special issue such as the organizations funding any of the guest editors on research on the topic, organizations collaborating with the guest editors on the specific topic, or individuals in close collaboration with any of the guest editors and intend to submit to the special issue. If the special issue is accepted, the Editor-in-Chief will discuss risk mitigation strategies with the guest editors to avoid conflict of interest.

Things to avoid when proposing a special issue

• Avoid proposing a topic outside the scope of IEEE TAI
• Avoid proposing a special issue based on a conference or a special session in a conference. Special issues in IEEE TAI needs to be advertised using an open call to allow anyone working in the area to submit a relevant paper
• Guest editors should avoid submitting papers to their special issue. If they do, their papers will be handled as normal submission to TAI and will only appear in the special issue if they get accepted on time for the special issue.

Submission of a Proposal for a Special Issue

Please forward your proposal to the Editor-in-Chief at [email protected].

Approval Decision on Special Issues

IEEE TAI has six issues per year. As such, the bar is very high for accepting a special issue. Once a proposal is submitted for a special issue, the EiC will consult with the Editorial Board. The criteria for acceptance of a special issue revolve around the relevance of the topic to IEEE TAI, the suitability of the topic to attract interest from a wider range of readership in the journal, the technical merit of the proposal, and the alignment of the proposal with the aims of a special issue as being outlined in the aims section above.

Based on comments from the Editorial Board, one of three decisions will be communicated to the proposers of the special issue: (1) the proposal is declined (2) The editorial board suggested changes that need to be considered before re-evaluation of the proposal (3) the proposal is accepted.

Post-Approval of a Special Issue Proposal

If the proposal for a special issue is accepted, the guest editors will need to convert the contents of the proposal to an appropriate call for papers. The call for papers need to be consistent with the proposal. Changes would entail that the decision on the special issue is retracted by the journal. Once the Editor-in-Chief approves the Call for Papers, it will be placed on the journal website under the Special Issue section. Only then the proposers are allowed to advertise for the special issue. It is the responsibility of proposers to advertise for a special issue. It is advisable that the call for papers is sent to all newsletters for the five sponsoring societies, and at minimum to IEEE CIS Newsletter.

Review of Papers in the Special Issue

The review process for papers submitted to a special issue will follow the same standards as a normal submission to the journal. A guest editor could be assigned as a reviewer, except the Associate Editor handling the papers. If a guest editor acts as a reviewer, a minimum of two extra reviewers need to be completed for each paper. The guest editor review could be used to provide a uniform feedback on paper alignment with the theme of the special issue and editorial comments.

The final decision on acceptance of manuscripts in a special issue is made by the Editor-in-Chief of IEEE TAI.

Preparation of the publication of the Special Issue 

Once a decision is made on which papers to accept in a special issue, the guest editors should prepare a preface for the special issue. The preface should not exceed two pages using the same template for normal papers in the transactions. The preface should be proof read by a professional proof reader before it gets submitted to the Editor-in-Chief for processing. The Editor-in-Chief will either accept, suggestion modifications to, or reject the preface. While the latter decision is not expected, a preface should only focus on the scientific essence of the special issue, be evidence-based and avoid sitting private agendas or non-scientific speculations. The Editor-in-Chief will communicate with the guest editors to ensure the appropriateness of the preface. However, in situations where this discussion is taking a longer time than the production schedule of the special issue or when an agreement can’t be reached, the preface will not proceed to production.

Review Process

• IEEE Transactions on Artificial Intelligence

Paper Handling Process

For a detailed discussion on the review process and rules for IEEE publications, please refer to the IEEE Publication Services and Products Board Operations Manual ( https://pspb.ieee.org/images/files/files/opsmanual.pdf ). The current document offers a quick guide to the paper handling process for authors to consider when writing their manuscript, and for reviewers to use as a guide to provide their review.

The formal scope for TAI is

The IEEE Transactions on artificial intelligence (TAI) is a multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Applications of Artificial Intelligence are also considered.

Editorial Process

From the time a paper is received to the time a final decision is made, the workflow associated with each paper is explained below including submission instructions.

Before Submission

Authors should read this document to familiarize themselves with the expectations of the journal. The author submitting a manuscript is expected to have an account on IEEE Author Portal https://ieee.atyponrex.com/journal/tai-ieee  

Editorial Assistant Compliance and Plagiarism Checking

A submitted paper is first checked with the Editorial Assistant to ensure

• There is no corrupted file during the loading of the paper
• Double-anonymized
• Appropriate Formatting
• Compliance with page limit
• Compliance with Ethics for papers involving human and/or animal experiments

A manuscript that fails any of the above, will be returned to authors.

If the manuscript passes the first checklist above, the Editorial Assistant will run a plagiarism report. The maximum allowable similarity index for a manuscript is 20% assuming that statements are quoted and cited. Manuscripts that exceed this threshold will receive a straight reject.

Editor in Chief

The Editor in Chief may reject a manuscript without sending it for review if:

• The author(s) have not followed the IEEE guidelines for style.
• The author(s) have violated IEEE Policies.
• The manuscript is incomprehensible (in other words, so poorly written that it is unreadable).
• The subject and contents of the article do not meet the scope of the periodical or a specific special issue, or the abstract, introduction and/or conclusion are inaccessible to the journal’s wide readership pool.
• The manuscript raises ethical concerns for manuscripts involving human and/or animal participation.
• The manuscript does not meet the very minumum techncal grounds for the journal.

If a manuscript passes the above, the Editor in Chief will assign an appropriate Associate Editor to handle the manuscript.

Associate Editor

Manuscripts will be assigned 3-4 reviewers. Decisions can be made on manuscripts based on two reviews only if and when the Associate Editor sees this appropriate. For example, the Associate Editor can opt to make a decision on a manuscript with two rejects without waiting for additional reviews.

Reviewers are technical experts in the field of the manuscript. TAI aims to provide constructive reviews. TAI expects reviewers to be professional and impartial in their judgement. In some circumstances, a manuscript may get sent to a reviewer who is expert in the wider technical area of a manuscript, without necessarily be an expert in the narrow technical area of the manuscript. This is an example where it is vital for the manuscript to be written in a language to make it accessible to a wider audience.

In addition to providing a written report on each manuscript, reviewers are required to answer a few questions:

• How would you describe the quality of technical writing used in this manuscript?
• How would you describe the quality of English used in this manuscript?
• Are the abstract, introduction, and conclusion written in an accessible language to a non-specialist?
• Is the work reproducible?
• How novel is the contribution?
• How significant is the contribution?
• Should this manuscript be considered for a 'Best Paper' award?

Some reviewers prefer to load their written report as a file that will be available to authors through Manuscript Central.

Reviews could be resent back to reviewers by the Associate Editor if:

• The review appears too shallow
• The comments do not match the decision proposed by the reviewer
• The review is not objective and/or uses inappropriate language

Decisions on Manuscripts

After reviewers return their reviews with recommendations, the Associate Editor handling the manuscript will write a meta review with a recommendation. The Editor in Chief will make the final decision on the manuscript, which will then be communicated to authors.

Manuscripts with a Minor Revision decision will be allowed 15 days to resubmit their revised manuscript. Manuscripts with a Major Revision decision will be allowed 30 days to resubmit their revised manuscript. Revised manuscripts that are received after these timeframes will need to be submitted as new manuscripts. ScholarOne Manuscripts Central will indicate to authors the number of days left before a deadline passes.

Appeal Process

Authors who wish to appeal a decision, they must submit their appeal in writing to the Editor-in-Chief within 30 days of the decision they appeal. The Editor-in-Chief will make a decision on the appeal within 15 days. Authors should discuss with the Editor-in-Chief if they are still unhappy with the decision on appeal and can escalate the appeal to the IEEE CIS VP Pubs if the discussion with the Editor-in-Chief is  unsatisfactory .

Expecteed Time for Review 

We aim to provide speedy decisions on submissions. Associate Editors are requested to handle papers while aiming for a decision within seven weeeks. Our average weeks from submission to first decision sits around 12 weeks mark. However, each submission is unique and may take a different amount of time to review; therefore, outliers exist, unfortunately. The editorial assistant and Editor-in-Chief do their best to follow up with reviewers and Associate Editors.  

IEEE Transactions on Artificial Intelligence 2024 Editorial Board

Editor-in-chief.

IEEE Transactions on Artificial Intelligence Founding Editor-in-Chief

Associate Editors

Updated: 3/11/24

Information for Authors

Ieee transactions on artificial intelligence author instructions, note: ieee tai has switched to double anonymous review policy. authors must exclude any author-identifying information in their pdf files., paper template.

https://template-selector.ieee.org/ 

Submission Site

https://ieee.atyponrex.com/journal/tai-ieee

Aims & Scope

The IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE (TAI) is a multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Applications of Artificial Intelligence are also considered. The aim is to publish impactful research in Artificial Intelligence, survey articles, and applications.

Types of Contributions

IEEE TAI publishes three types of articles:

Original Research Regular Manuscripts

Original Research Regular Manuscripts represent significant contributions with novel experimental, analytical, and/or theoretical findings. These articles could be application focused, where the novelty lies in the methodology for adopting an artificial intelligence (AI) algorithm to a challenging application. The work needs to be self-contained, scientifically sound, evidence-based, and representing a conclusive treatment of a problem.

Original Research Review Manuscripts

Original Research Review Manuscripts offer a systematic survey and a critical assessment of a scientific field with an aim to synthesize the research already done by others into a new form. A review article needs to articulate the methodology for the review including the inclusion and exclusion criteria (methodological filter) for the papers being reviewed. The synthesis should lead to open research questions addressing significant research gaps and/or new conceptual frameworks.

Original Research Briefs Manuscripts

Original Research Briefs Manuscripts are shorter forms of research articles. They could offer sufficiently interesting new theoretical, experimental, and/or analytical findings, short comments on topical issues of interest to the journal readership, and/or a blue-sky idea with appropriate evidence of the potential of the idea and its impact on artificial intelligence.

Manuscript Category Responsibilities

During the review process, submitted manuscripts will NOT be transferred from one category to another after submission/review. It is the responsibility of authors to decide the category of their manuscript at the time of submission. The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE Publication Services and Products Board Operations Manual (https://pspb.ieee.org/images/.les/.les/opsmanual.pdf). Each published article was reviewed by a minimum of two independent reviewers using a single-blind peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors.

Restrictions to Notice

• Maximum number of words in the title 15 words
• Maximum length of running head 25 characters
• Maximum length of abstract 250 words
• Minimum number of keywords 3
• Maximum number of keywords 6

 ** Current mandatory page charges are US$200 per extra page.

Open Access

This publication is a hybrid journal, allowing either Traditional manuscript submission or Open Access (author-pays OA) manuscript submission. Upon submission, if you choose to have your manuscript be an Open Access article, you commit to pay the discounted $2,045 OA fee if your manuscript is accepted for publication in order to enable unrestricted public access. Any other application charges (such as over-length page charge and/or charge for the use of color in the print format) will be billed separately once the manuscript formatting is complete but prior to the publication. If you would like your manuscript to be a Traditional submission, your article will be available to qualified subscribers and purchasers via IEEE Xplore. No OA payment is required for Traditional submission.

Open access is provided through the payment of an article processing charge (APC) paid after acceptance. APCs are often financed by an author's institution or the funder supporting their research.

Corresponding authors from low income countries are eligible for waived or reduced APCs .

Double-Anonymous Review

The articles in this journal are peer reviewed in accordance with the requirements set forth in the  IEEE PSPB Operations Manual  (sections 8.2.1.C & 8.2.2.A). Each published article was reviewed by a minimum of two independent reviewers using a double-anonymous peer review process, where the identities of the reviewers are not known to the authors, and the reviewers are not provideed with the identities of the authors at the time of review. Articles will be screened for plagiarism before acceptance.

IEEE Guidelines on AI-Generated Text

The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.

All IEEE authors are expected to adhere to IEEE’s publishing ethics, including the definition of authorship , the appropriate citation of sources , the accurate reporting of data , and the publishing of original research . Visit the IEEE Author Center to learn more. All articles submitted for publication should be original and not under consideration elsewhere; if your article is based on a previous publication such as a conference proceeding, cite the original publication and clearly indicate how the articles differ. 

Papers involving human or animal participation must include in their manuscript information on the ethics clearance protocol followed and the approval number from an appropriate ethics committee.

Contact the Editor-in-Chief with any questions on publishing ethics.

Extending Conference Papers

The journal accepts an extended version of authors' conference papers with the following conditions:

• The submitted journal version of the paper contains additional substantial contributions to the conference version. Examples of substantial contributions include significant methodological improvements, essential mathematical proofs, or significant extension to experimental frameworks. The mere addition of experiments on new datasets or expanding the background section, while important, are not considered substantial contributions.
• Authors must reference the conference paper, explain the difference, and list the additional contributions.
• Similarity index does not exceed 25% excluding bibliography and preprints of the same paper.

Manuscript Organization

The IEEE Transactions on Artificial Intelligence (TAI) aims to reach out to a wide readership pool that includes academics, practitioners, executives, and policy makers. The journal presents technical contents requiring technical rigor and, correct and sound investigations.

To respect the double-anonymized review policy , authors should exclude their names, contact information, and affiliations from the entire manuscript including frontmatter information, figures, tables, acknowledgement, references, supplementary materials, and links to external websites such as GitHub. To refer to their prior work, authors should use a third-person voice. For example, instead of writing “Our prior work (Mary and Michael, 2023) has shown”, you can write “Mary and Michael (2023) have shown” or “The work of Mary and Michael (2023) has shown”. Exclude acknowledgements and any references to funding sources. These information are provided in author portals.

A manuscript in TAI needs be structured well to achieve these objectives. It is recommended that authors adhere to the following guidelines when organizing their manuscript.

• Impact Statement
• Introduction
• Methodology
• Theory/Analysis, Experimental Design/Results/Analysis/Discussion
• Conclusion and Future Work
• Supplementary Materials if any

The title should be concise and reflect the scope, contribution(s) and significance of the work. 

Avoid phrases such as “a novel methodology”, “a new algorithm”, and “a significant application” in the title. By default, papers in TAI offer novel contributions that are significant. One purpose of the paper is to convince the reader that the contribution is novel, scientifically sound, technically correct, and significant. As such, words such as ‘novel’ and ‘new’ are redundant.

The “Abstract”, “Introduction” and “Conclusion and Future Work” sections must be accessible to the wide readership of TAI. A non-specialist needs to be able to understand the problem the manuscript is attempting to solve, the motivation and significance of the problem, the novelty of the proposed solution and how it advances the field, the significance of the findings, and the remaining research questions that other researchers could use to continue with a similar line of work.

The “Abstract” should not exceed 250 words. Authors are encouraged to attempt to use the following guideline in writing their abstract:

• 1 to 2 sentences introducing the problem.
• 2 to 3 sentences summarizing the state-of-art. Be concise and offer an objective assessment of the current state of play in this area.
• 1 to 2 sentences clearly describing the research gap the paper is concerned with.
• 1 to 2 sentences summarizing the main methodological contribution.
• 1 to 2 sentences summarizing the main result.
• 2 to 3 sentences summarizing the implications of the findings on the wider field of AI.

The introduction should motivate the work, expand on the problem definition and discusses an initial summary of the state of the art with the absolute minimum use of technical jargon.

For mathematically oriented manuscripts, over-use of mathematics should be avoided. The purpose of mathematics is to be concise, formalize the problem, and support the technical soundness of the contribution. Mathematical proofs should be complemented with explanations sufficient for a graduate student to follow the logic of the proof. Obvious steps in a proof that get skipped by an expert should be included in the supplementary materials for a graduate student to follow the proofs.

For experimental manuscripts, authors should adhere to the scientific method. A clear hypothesis needs to be established. Experimental validity should guide the experimental design. Appropriate statistical tests of significance should be used before making any claim on the superior performance of one algorithm over another. Claims should be scientifically sound, driven from the analysis, and should not exaggerate the findings. When comparing a proposed algorithm to others from the literature, the paper should avoid excessive comparisons. It is sufficient to compare against the top two or three most recent and competitive algorithms in the field of the paper. The choice of these algorithms should be justified.

For survey manuscripts, there should be a clear and systematic survey methodology. Previous survey papers in the area should be acknowledged and summarized before updating the survey with new advances in the field. A survey paper needs to synthesize the literature into a new form such as a conceptual model and/or open research questions.

Each paper should have a conclusion and future work section. The conclusion should summarize the key finding of the paper and position it in the wider research area. Future research directions stemming from a paper’s findings need to be discussed in a concise manner. Authors are encouraged to avoid superficial and very generic future research statements.

References should cover recent papers. Unless the manuscript is addressing a long-forgotten topic in artificial intelligence, it is expected that the majority of references will be dedicated to recent publications. Self-reference should be kept to the absolute minimum necessary.

The Impact Statement: 

It is becoming more important than ever that the science published in top tier journals such as the IEEE Transactions on Artificial Intelligence, needs to be communicated widely to the community and readership of the journal. 

Every good piece of research has an impact, but it could become deeply hidden in the technical language used to describe the work, making it harder for non-specialists to understand it. To facilitate making the wider readership pool of the journal to understand the research published in the Transactions, each paper must include a 100-150 words impact statement following the abstract.

The statement needs to offer a concise explanation of the impact of the research and findings. Authors may wish to be guided by the PESTEL dimensions: political, economic, social, technological, environmental, and legal. Explain how the manuscript substantially advances the knowledge base in the specific branch of AI and the wider field of AI, and the ‘so-what’ question by reflecting on how the findings could be beneficial for some or all of the PESTEL dimensions. 

Impact statements are taken seriously in the evaluation of the manuscript and its suitability for IEEE TAI. The impact statement should convince a smart, but not necessarily a specialist, reader that your work is novel and will create a legacy in the research area. Your paper may get returned to you without review if the impact statement is thin, ambiguous, a copy of the abstract, or does not demonstrate a real advance in the scientific or technological field that matters.

A YouTube video explaining how to write an Impact Statement by the Founding Editor-in-Chief can be viewed by Clicking Here .

Tips for writing good impact statements:

Do not repeat the abstract. The abstract is about the what, why, how and findings. The impact statement is about the ‘so-what’.

Please avoid ambiguous statements, exaggeration or under-estimation of impact, and technical jargons.

A journalist or a politician with no expertise in AI should be able to read your impact statement and understand the significance of the research.

Authors may wish to read https://ieeexplore.ieee.org/document/731328  

Hypothetical Example 1 of an impact statement:

Chatbots are a popular technology in online interaction. They reduce the load on human support teams and offer continuous 24-7 support to customers. However, recent usability research has demonstrated that 30% of customers are unhappy with current chatbots due to their poor conversational skills and inability to emotionally engage customers. The natural language algorithms we introduce in this paper overcome these limitations. With a significant increase in user satisfaction to 92% after adopting our algorithms, the technology is ready to support users in a wide variety of applications including government front-shops, automatic tellers, and the gaming industry.  Moreover, the proposed technology could offer an alternative way of interaction for some physically disable users.

Hypothetical Example 2 of an impact statement:

While existing pattern recognition algorithms in autonomous cars can detect 99% of obstacles during a clear day, their accuracy drops to 10% in low-visibility environments with fog or heavy rain. The technology proposed in this paper has improved the accuracy of these algorithms in low-visibility environments to 80%. This improvement caused the expected number of collisions for autonomous cars to fall below the safety threshold needed to deploy them on roads. The economic implication of this advance is expected to increase GDP with 5% over the next five years, while reducing death tolls in the streets to less than 45% of current figures.

Article Submission

• All articles must be submitted via our submission site at  https://ieee.atyponrex.com/journal/tai-ieee
• Format your article for submission by using the standard IEEE two column format. Style files are available from the IEEE Author Center . In particular, please use the Latex template available here.
• Submit your article text in two-column PDF IEEE format. Visit the IEEE Author Center for information on writing the abstract, using equations in your article, publishing author names in native languages, and more.
• Authors will need to submit a minimum of three and a maximum of six keywords chosen from a dropdown list. These keywords are important to identify and assign appropriate reviewers to the manuscript. Authors need to choose the keywords that match their manuscript. If none of the keywords exactly match the manuscript, authors need to select the closest keywords from the list that match their manuscript. If there are absolutely no keywords that match the manuscript, the authors need to rethink of the relevance of their manuscript to IEEE TAI.
• Submit your figures individually in PS, EPS, PDF, PNG, or TIF format. Visit the IEEE Author Center for information on resolution, size requirements, file naming conventions, and more.
• For information on submitting supplementary material such as graphical abstracts, multimedia, or datasets, visit the IEEE Author Center .
• A rejected paper should not normally be submitted again to the journal. If it has gone significant and substantial changes to contents to eliminate all issues identified in the rejection letter, authors could consult with the Editor-in-Chief to check if their paper has changed in form and contents sufficiently to warrant a new submission. This piece of guideline is to avoid repeated desk reject decisions when rejected papers cycle back with similar forms and contents; overloading the review system of the journal.

All IEEE journals require an Open Researcher and Contributor ID (ORCID) for all authors. ORCID is a persistent unique identifier for researchers and functions similarly to an article’s Digital Object Identifier (DOI). You will need a registered ORCID to submit an article or review a proof in this journal. Learn more about ORCID and sign up for an ORCID today.

English Language Editing Services

English language editing services can help refine the language of your article and reduce the risk of rejection without review. IEEE authors are eligible for discounts at several language editing services; visit the IEEE Author Center to learn more. Please note these services are fee-based and do not guarantee acceptance.

Share Your Code and Data

Increase the impact of your work by sharing your code and data for others to view, build upon, and reuse. IEEE works with Code Ocean [ https://codeocean.com/ ], a cloud-based computational reproducibility platform, to make your code discoverable. IEEE DataPort [ https://ieee-dataport.org/ ], an online data repository of datasets and data analysis tools, makes your datasets discoverable. Visit the IEEE Author Center for more information.

IEEE Author Tools

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Ieee spectrum, follow ieee spectrum, support ieee spectrum, enjoy more free content and benefits by creating an account, saving articles to read later requires an ieee spectrum account, the institute content is only available for members, downloading full pdf issues is exclusive for ieee members, downloading this e-book is exclusive for ieee members, access to spectrum 's digital edition is exclusive for ieee members, following topics is a feature exclusive for ieee members, adding your response to an article requires an ieee spectrum account, create an account to access more content and features on ieee spectrum , including the ability to save articles to read later, download spectrum collections, and participate in conversations with readers and editors. for more exclusive content and features, consider joining ieee ., join the world’s largest professional organization devoted to engineering and applied sciences and get access to all of spectrum’s articles, archives, pdf downloads, and other benefits. learn more →, join the world’s largest professional organization devoted to engineering and applied sciences and get access to this e-book plus all of ieee spectrum’s articles, archives, pdf downloads, and other benefits. learn more →, access thousands of articles — completely free, create an account and get exclusive content and features: save articles, download collections, and talk to tech insiders — all free for full access and benefits, join ieee as a paying member., 2021’s top stories about ai, spoiler: a lot of them talked about what's wrong with machine learning today.

2021 was the year in which the wonders of artificial intelligence stopped being a story. Which is not to say that IEEE Spectrum didn’t cover AI—we covered the heck out of it. But we all know that deep learning can do wondrous things and that it’s being rapidly incorporated into many industries; that’s yesterday’s news. Many of this year’s top articles grappled with the limits of deep learning (today’s dominant strand of AI) and spotlighted researchers seeking new paths.

Here are the 10 most popular AI articles that Spectrum published in 2021, ranked by the amount of time people spent reading them. Several came from Spectrum ‘s October 2021 special issue on AI, The Great AI Reckoning .

1. Deep Learning’s Diminishing Returns : MIT’s Neil Thompson and several of his collaborators captured the top spot with a thoughtful feature article about the computational and energy costs of training deep-learning systems. They analyzed the improvements of image classifiers and found that “to halve the error rate, you can expect to need more than 500 times the computational resources.” They wrote: “Faced with skyrocketing costs, researchers will either have to come up with more efficient ways to solve these problems, or they will abandon working on these problems and progress will languish.” Their article isn’t a total downer, though. They ended with some promising ideas for the way forward.

2. 15 Graphs You Need to See to Understand AI in 2021 : Every year, The AI Index drops a massive load of data into the conversation about AI. In 2021, the Index’s diligent curators presented a global perspective on academia and industry, taking care to highlight issues with diversity in the AI workforce and ethical challenges of AI applications. I, your humble AI editor, then curated that massive amount of curated data, boiling 222 pages of report down into 15 graphs covering jobs, investments, and more. You’re welcome.

3. How DeepMind Is Reinventing the Robot : DeepMind, the London-based Alphabet subsidiary, has been behind some of the most impressive feats of AI in recent years, including breakthrough work on protein folding and the AlphaGo system that beat a grandmaster at the ancient game of Go. So when DeepMind’s head of robotics   Raia Hadsell says she’s tackling the long-standing AI problem of catastrophic forgetting in an attempt to build multitalented and adaptable robots, people pay attention.

4. The Turbulent Past and Uncertain Future of Artificial Intelligence : This feature article served as the introduction to Spectrum ‘s special report on AI , telling the story of the field from 1956 to present day while also cueing up the other articles in the special issue. If you want to understand how we got here, this is the article for you. It pays special attention to past feuds between the symbolists who bet on expert systems and the connectionists who invented neural networks, and looks forward to the possibilities of hybrid neuro-symbolic systems.

5. Andrew Ng X-Rays the AI Hype : This short article relayed an anecdote from a Zoom Q&A session with AI pioneer Andrew Ng , who was deeply involved in early AI efforts at Google Brain and Baidu and now leads a company called Landing AI . Ng spoke about an AI system developed at Stanford University that could spot pneumonia in chest X-rays, even outperforming radiologists. But there was a twist to the story.

6. OpenAI’s GPT-3 Speaks! (Kindly Disregard Toxic Language) : When the San Francisco–based AI lab OpenAI unveiled the language-generating system GPT-3 in 2020, the first reaction of the AI community was awe. GPT-3 could generate fluid and coherent text on any topic and in any style when given the smallest of prompts. But it has a dark side. Trained on text from the internet, it learned the human biases that are all too prevalent in certain portions of the online world, and therefore has an awful habit of unexpectedly spewing out toxic language. Your humble AI editor (again, that’s me) got very interested in the companies that are rushing to integrate GPT-3 into their products, hoping to use it for such applications as customer support, online tutoring, mental health counseling, and more. I wanted to know: If you’re going to employ an AI troll, how do you prevent it from insulting and alienating your customers?

7. Fast, Efficient Neural Networks Copy Dragonfly Brains : What do dragonfly brains have to do with missile defense? Ask Frances Chance of Sandia National Laboratories, who studies how dragonflies efficiently use their roughly 1 million neurons to hunt and capture aerial prey with extraordinary precision. Her work is an interesting contrast to research labs building neural networks of ever-increasing size and complexity (recall #1 on this list). She writes: “By harnessing the speed, simplicity, and efficiency of the dragonfly nervous system, we aim to design computers that perform these functions faster and at a fraction of the power that conventional systems consume.”

8. Deep Learning Isn’t Deep Enough Unless It Copies From the Brain : In a former life, Jeff Hawkins invented the PalmPilot and ushered in the smartphone era. These days, at the machine intelligence company Numenta , he’s investigating the basis of intelligence in the human brain and hoping to usher in a new era of artificial general intelligence. This Q&A with Hawkins covers some of his most controversial ideas, including his conviction that superintelligent AI doesn’t pose an existential threat to humanity and his contention that consciousness isn’t really such a hard problem.

9. The Algorithms That Make Instacart Roll : It’s always fun for Spectrum readers to get an insider’s look at the tech companies that enable our lives. Engineers Sharath Rao and Lily Zhang of Instacart, the grocery shopping and delivery company, explain that the company’s AI infrastructure has to predict the availability of “the products in nearly 40,000 grocery stores—billions of different data points,” while also suggesting replacements, predicting how many shoppers will be available to work, and efficiently grouping orders and delivery routes.

10. 7 Revealing Ways AIs Fail : Everyone loves a list, right? After all, here we are together at item #10 on this list. Spectrum contributor Charles Choi pulled together this entertaining list of failures and explained what they reveal about the weaknesses of today’s AI. The cartoons of robots getting themselves into trouble are a nice bonus.

So there you have it. Keep reading IEEE Spectrum to see what happens next. Will 2022 be the year in which researchers figure out solutions to some of the knotty problems we covered in the year that’s now ending? Will they solve algorithmic bias, put an end to catastrophic forgetting, and find ways to improve performance without busting the planet’s energy budget? Probably not all at once...but let’s find out together.

• Artificial Intelligence News & Articles - IEEE Spectrum ›
• Superintelligent AI May Be Impossible to Control; That's the Good ... ›
• Stop Calling Everything AI, Machine-Learning Pioneer Says - IEEE ... ›
• AI’s 6 Worst-Case Scenarios - IEEE Spectrum ›
• Andrew Ng: Unbiggen AI - IEEE Spectrum ›
• Benefits & Risks of Artificial Intelligence - Future of Life Institute ›
• Artificial intelligence - Wikipedia ›
• Association for the Advancement of Artificial Intelligence ›

Eliza Strickland is a senior editor at IEEE Spectrum , where she covers AI, biomedical engineering, and other topics. She holds a master’s degree in journalism from Columbia University.

The common weakness of AI as it stands today, is that it requires commercial investment… and those investors want some positive return.

If we could accept Altruistic AI, or SI as I call it, we would have functioning self-aware intelligent systems within a decade or so.

Of course, these can be abused for commercial or political ends, and therein lies the problem.

Ethical engineering can’t be achieved until we have an ethical world to operate in.

We can only hope that comes sooner than later.

The Best New Off-Roading Vehicle Is an EV

Startup sends bluetooth into low earth orbit, disney's robots use rockets to stick the landing, related stories, llama 3 establishes meta as the leader in “open” ai, ai chip trims energy budget back by 99+ percent, faster, more secure photonic chip boosts ai training.

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Title: explainable ai: current status and future directions.

Abstract: Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (e.g., classification or object detection) and can also answer other "wh" questions. This explainability is not possible in traditional AI. Explainability is essential for critical applications, such as defense, health care, law and order, and autonomous driving vehicles, etc, where the know-how is required for trust and transparency. A number of XAI techniques so far have been purposed for such applications. This paper provides an overview of these techniques from a multimedia (i.e., text, image, audio, and video) point of view. The advantages and shortcomings of these techniques have been discussed, and pointers to some future directions have also been provided.

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Artificial Intelligence in CyberSecurity

Submission Deadline: 30 July 2019

IEEE Access invites manuscript submissions in the area of Artificial Intelligence in CyberSecurity.

Recent studies show that Artificial Intelligence (AI) has resulted in advances in many scientific and technological fields, i.e., AI-based medicine, AI-based transportation, and AI-based finance. It can be imagined that the era of AI will be coming to us soon. The Internet has become the largest man-made system in human history, which has a great impact on people’s daily life and work. Security is one of the most significant concerns in the development of a sustainable, resilient and prosperous Internet ecosystem. Cyber security faces many challenging issues, such as intrusion detection, privacy protection, proactive defense, anomalous behaviors, advanced threat detection and so on. What’s more, many threat variations emerge and spread continuously. Therefore, AI-assisted, self-adaptable approaches are expected to deal with these security issues. Joint consideration of the interweaving nature between AI and cyber security is a key factor for driving future secure Internet.

The use of AI in cybersecurity creates new frontiers for security research. Specifically, the AI analytic tools, i.e., reinforcement learning, big data, machine learning and game theory, make learning increasingly important for real-time analysis and decision making for quick reactions to security attacks. On the other hand, AI technology itself also brings some security issues that need to be solved. For example, data mining and machine learning create a wealth of privacy issues due to the abundance and accessibility of data. AI-based cyber security has a great impact on different industrial applications if applied in appropriate ways, such as self-driving security, secure vehicular networks, industrial control security, smart grid security, etc. This Special Section in IEEE Access will focus on AI technologies in cybersecurity and related issues. We also welcome research on AI-related theory analysis for security and privacy.

The topics of interest include, but are not limited to:

• Reinforcement learning for cybersecurity
• Machine learning for proactive defense
• Big data analytics for security
• Big data anonymization
• Big data-based hacking incident forecasting
• Big data analytics for secure network management
• AI-based intrusion detection and prevention
• AI approaches to trust and reputation
• AI-based anomalous behavior detection
• AI-based privacy protection
• AI for self-driving security
• AI for IoT security
• AI for industrial control security
• AI for smart grid security
• AI for security in innovative networking
• AI security applications

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor:    Chi-Yuan Chen, National Ilan University, Taiwan

Guest Editors:

• Wei Quan, Beijing Jiaotong University, China
• Nan Cheng, University of Toronto, Canada
• Shui Yu, Deakin University, Australia
• Jong-Hyouk Lee, Sangmyung University, Republic of Korea
• Gregorio Martinez Perez, University of Murcia (UMU), Spain
• Hongke Zhang, Beijing Jiaotong University, China
• Shiuhpyng Shieh, National Chiao Tung University, Taiwan

Relevant IEEE Access Special Sections:

• Artificial Intelligence and Cognitive Computing for Communications and Networks
• Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things
• Cyber-Physical Systems

IEEE Access Editor-in-Chief:   Prof. Derek Abbott, University of Adelaide

Paper submission: Contact Associate Editor and submit manuscript to: http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact:  [email protected] .

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• Journal: IEEE Access
• Format: Open Access
• Frequency: Continuous
• Submission to Publication: 4-6 weeks (typical)
• Topics: All topics in IEEE
• Average Acceptance Rate: 27%
• Model: Binary Peer Review
• Article Processing Charge: US $1,995

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These rules apply to the “2024 IEEE Access Best Video Award Part 1″ (the “Award”).

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• How to Enter: This Award opens on January 1, 2024 at 12:00 AM ET and all entries must be received by 11:59 PM ET on June 30, 2024 (“Promotional Period”).

Entrant must submit a video with an article submission to IEEE Access . The video submission must clearly be relevant to the submitted manuscript.  Only videos that accompany an article that is accepted for publication in IEEE Access will qualify.  The video may be simulations, demonstrations, or interviews with other experts, for example.  Your video file should not exceed 100 MB.

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Entries must be original. Entries that copy other entries, or the intellectual property of anyone other than the Entrant, may be removed by Sponsor and the Entrant may be disqualified. Sponsor reserves the right to remove any entry and disqualify any Entrant if the entry is deemed, in Sponsor’s sole discretion, to be inappropriate.

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• Number of Prizes Available, Prizes, Approximate Retail Value and Odds of winning Prizes: Two (2) promotional prizes of $350 USD Amazon gift cards. One (1) grand prize of a $500 USD Amazon gift card. Prizes will be distributed to the winners after the selection of winners is announced. Odds of winning a prize depend on the number of eligible entries received during the Promotional Period. Only the corresponding author of the submitted manuscript will receive the prize.

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The prize(s) for the Award are being sponsored by IEEE.  No cash in lieu of prize or substitution of prize permitted, except that Sponsor reserves the right to substitute a prize or prize component of equal or greater value in its sole discretion for any reason at time of award.  Sponsor shall not be responsible for service obligations or warranty (if any) in relation to the prize(s). Prize may not be transferred prior to award. All other expenses associated with use of the prize, including, but not limited to local, state, or federal taxes on the Prize, are the sole responsibility of the winner.  Winner(s) understand that delivery of a prize may be void where prohibited by law and agrees that Sponsor shall have no obligation to substitute an alternate prize when so prohibited. Amazon is not a sponsor or affiliated with this Award.

• Selection of Winners: Promotional prize winners will be selected based on entries received during the Promotional Period. The sponsor will utilize an Editorial Panel to vote on the best video submissions. Editorial Panel members are not eligible to participate in the Award.  Entries will be ranked based on three (3) criteria:
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Upon selecting a winner, the Sponsor will notify the winner via email. All potential winners will be notified via their email provided to the sponsor. Potential winners will have five (5) business days to respond after receiving initial prize notification or the prize may be forfeited and awarded to an alternate winner. Potential winners may be required to sign an affidavit of eligibility, a liability release, and a publicity release.  If requested, these documents must be completed, signed, and returned within ten (10) business days from the date of issuance or the prize will be forfeited and may be awarded to an alternate winner. If prize or prize notification is returned as undeliverable or in the event of noncompliance with these Official Rules, prize will be forfeited and may be awarded to an alternate winner.

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• Limitation of Liability:  The Sponsor, Award Entities and their respective parents, affiliates, divisions, licensees, subsidiaries, and advertising and promotion agencies, and each of the foregoing entities’ respective employees, officers, directors, shareholders and agents (the “Released Parties”) are not responsible for incorrect or inaccurate transfer of entry information, human error, technical malfunction, lost/delayed data transmissions, omission, interruption, deletion, defect, line failures of any telephone network, computer equipment, software or any combination thereof, inability to access web sites, damage to a user’s computer system (hardware and/or software) due to participation in this Award or any other problem or error that may occur. By entering, participants agree to release and hold harmless the Released Parties from and against any and all claims, actions and/or liability for injuries, loss or damage of any kind arising from or in connection with participation in and/or liability for injuries, loss or damage of any kind, to person or property, arising from or in connection with participation in and/or entry into this Award, participation is any Award-related activity or use of any prize won. Entry materials that have been tampered with or altered are void. If for any reason this Award is not capable of running as planned, or if this Award or any website associated therewith (or any portion thereof) becomes corrupted or does not allow the proper playing of this Award and processing of entries per these rules, or if infection by computer virus, bugs, tampering, unauthorized intervention, affect the administration, security, fairness, integrity, or proper conduct of this Award, Sponsor reserves the right, at its sole discretion, to disqualify any individual implicated in such action, and/or to cancel, terminate, modify or suspend this Award or any portion thereof, or to amend these rules without notice. In the event of a dispute as to who submitted an online entry, the entry will be deemed submitted by the authorized account holder the email address submitted at the time of entry. “Authorized Account Holder” is defined as the person assigned to an email address by an Internet access provider, online service provider or other organization responsible for assigning email addresses for the domain associated with the email address in question. Any attempt by an entrant or any other individual to deliberately damage any web site or undermine the legitimate operation of the Award is a violation of criminal and civil laws and should such an attempt be made, the Sponsor reserves the right to seek damages and other remedies from any such person to the fullest extent permitted by law. This Award is governed by the laws of the State of New Jersey and all entrants hereby submit to the exclusive jurisdiction of federal or state courts located in the State of New Jersey for the resolution of all claims and disputes. Facebook, LinkedIn, Twitter, G+, YouTube, IEEE Xplore , and IEEE TV are not sponsors nor affiliated with this Award.
• Award Results and Official Rules: To obtain the identity of the prize winner and/or a copy of these Official Rules, send a self-addressed stamped envelope to Kimberly Rybczynski, IEEE, 445 Hoes Lane, Piscataway, NJ 08854-4141 USA.