AAAI-22 Main Technical Track

Call for Papers


  • Two technical tracks (Main Track; AI for Social Impact)
  • Two-phase reviewing: two reviews in Phase 1, another two in Phase 2 for papers that are not rejected in Phase 1. Author response after Phase 2, only for papers that are not rejected in Phase 1.
  • Three kinds of supplementary material may be submitted alongside all papers: (1) technical appendix; (2) multimedia; (3) code and data. Supplementary material deadline is 3 days after the paper submission deadline.
  • Two pages for references.
  • All authors must complete a reproducibility checklist.
  • All authors are expected to be available to review (light load), unless extenuating circumstances apply.

The purpose of the AAAI conference series is to promote research in artificial intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in AI and its affiliated disciplines. AAAI-22 is the Thirty-Sixth AAAI Conference on Artificial Intelligence. Like previous AAAI conferences it will feature technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards. AAAI-22 will also include additional programs for students and young researchers.

We plan for AAAI-22 to be an in-person conference and are exploring opportunities for remote participation. Given the volatile situation, however, the exact format of the conference can only be decided at a later stage.

Timetable for Authors

Note: all deadlines are “anywhere on earth” (UTC-12)

  • July 26, 2021: AAAI-22 web site open for author registration
  • August 2, 2021: AAAI-22 web site open for paper submission
  • August 30, 2021: Abstracts due at 11:59 PM UTC-12
  • September 8, 2021: Full papers due at 11:59 PM UTC-12
  • September 11, 2021: Supplementary material and code due by 11:59 PM UTC-12
  • October 1, 2021: Abstracts AND full papers for NeurIPS fast track submissions due by 11:59 PM UTC-12
  • October 4, 2021: Supplementary material and code for NeurIPS fast track submissions due by 11:59 PM UTC-12
  • October 15, 2021: Notification of Phase 1 rejections
  • November 2-5, 2021: Author feedback window
  • November 29, 2021: Notification of final acceptance or rejection
  • December 9, 2021: Submission of paper preprints for inclusion in electronic conference materials
  • February 22 – March 1, 2022: AAAI 2022
  • March 22, 2022: Submission of archival versions of papers for publication in the AAAI digital library.


AAAI-22 welcomes submissions reporting research that advances artificial intelligence, broadly conceived. The conference scope includes machine learning (deep learning, statistical learning, etc), natural language processing, computer vision, data mining, multiagent systems, knowledge representation, human-in-the-loop AI, search, planning, reasoning, robotics and perception, and ethics. In addition to fundamental work focused on any one of these areas we expressly encourage work that cuts across technical areas of AI, (e.g., machine learning and computer vision; computer vision and natural language processing; or machine learning and planning), bridges between AI and a related research area (e.g., neuroscience; cognitive science) or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce.

The set of AAAI-22 keywords is available on the AAAI-22 keywords page. This author’s guide for choosing the best keywords describes important considerations in selecting keywords for a paper.

Most papers in AAAI-22 will be part of the main track. All main track papers will be reviewed according to the same criteria and via the same process. A second track of the conference will focus on AI for Social Impact. Papers in this track will be reviewed according to a different evaluation rubric than papers in the main track. The same reviewing schedule will be followed for all papers.

Track on AI for Social Impact

As in past years, AAAI-22 will include a Track on AI for Social Impact (AISI). Submissions to this track will be reviewed according to a rubric that emphasizes the fit between the techniques used and a problem of social importance, rather than simply rewarding technical novelty. In particular, reviewers will assess novelty of the AI problem formulation studied; the paper’s engagement with previous literature on the application problem (whether in the AI literature or elsewhere); both novelty of and justification for the proposed solution; quality of evaluation; facilitation of follow-up work; and overall scope and promise for social impact. Further details are available at the AISI page.

Authors should think carefully about which track is most appropriate for their work. For example, a paper that emphasizes methodological contributions and makes weak connections to a social impact application may stand more chance of acceptance in the main technical track.

Review Criteria

AAAI is a highly selective conference. Prospective authors are therefore strongly encouraged to submit only their very best work to AAAI.

All submissions will be rigorously evaluated by expert reviewers to assess whether the contributions of the paper are substantive enough to warrant publication in AAAI.

The contributions may be theoretical, methodological, algorithmic, empirical, or integrative (connecting ideas and methods across disparate subfields of AI), or critical (e.g., principled analyses and arguments that draw attention to fundamentally wrong choice of goals, assumptions, or approaches). Evaluation of submissions to the AI for Social Impact track should emphasize demonstrated or potential impact of the research in addressing pressing societal challenges, e.g., health, food, environment, education, governance, among others.

All submissions will be evaluated and scored for the significance and novelty of the contributions (research problems or questions addressed, methods, experiments, analyses), theoretical and/or empirical soundness of the claims, their relevance to the AAAI community, and clarity of exposition.

Additional considerations include adherence to responsible research practices (e.g., with respect to human subject studies, use of sensitive data, etc., data and algorithmic bias), and of steps to ensure reproducibility of research results (e.g., by providing detailed proofs,  documenting experiments, sharing data, code, etc.).

Solid, technical papers that explore new territory or point out new directions for research, or introduce new problems, address research questions, or introduce methods that are of interest beyond a single sub-area of AI are preferred to papers that advance the state of the art, but only incrementally, or only within a narrow sub-area of AI.

Detailed instructions

More specific details are available on the following pages:

Questions and Suggestions

Please send queries about author instructions and conference registration to Please direct suggestions for the program and other general inquiries to the AAAI-22 Program Cochairs at

AAAI-22 Conference Organizers

Program Co-chairs

Vasant Honavar (Pennsylvania State University, USA)
Matthijs Spaan (Delft University of Technology, Netherlands)

General Chair

Katia Sycara (Carnegie Mellon University, USA)

Associate Program Co-chairs

Jennifer Dy (Northeastern University, USA)
Timothy Hospedales (University of Edinburgh, UK)
Nihar Shah (Carnegie Mellon University, USA)
Vivek Srikumar (University of Utah, USA)

Workflow Co-chairs

Sunipa Dev (University of California, Los Angeles, USA)
Henry Gouk (University of Edinburgh, UK)
Steven Jecmen (Carnegie Mellon University, USA)
Zulqarnain Khan (Northeastern University, USA)
Maxim Marchal (Delft University of Technology, Netherlands)

Reproducibility Chair

Odd Erik Gundersen (Norwegian University of Science and Technology, Norway)

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