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AAMAS 2022 Workshop on Diversity in Artificial Intelligence

Artificial Intelligence - Diversity, Belonging, Equity, and Inclusion (AIDBEI)

Welcome to AIDBEI@AAMAS 2022!

This workshop is the fourth in the series, and first at AAMAS, of workshops organized by Diverse In AI, an affinity group which aims to foster links between participants from underrepresented populations in the field of artificial intelligence. The organizers of this workshop strongly believe in bringing the diversity in our society, reflected in race, ethnicity, gender, age, religion, disability, sexual orientation, socioeconomic status and cultural background, into the field of AI (including autonomous agents and multiagent systems). Bringing this diversity in AI is extremely crucial as AI has and continues to shape our collective future, and therefore the representation of every aspect of society, especially the marginalized ones, is important to have an inclusive development of AI. Inspired by initiatives such as the Grace Hopper Conference which provides opportunities to technologists in understanding the needs of underserved populations, the organizers of this workshop also wish to bring together participants from underrepresented communities, help them via inter-disciplinary collaboration, dissemination of information regarding best practices in the field of AI and mentor students/future technologists from these communities.

Place: Virtual
Time: 1500-1800 UTC
(0800-1100 PDT / 0900-1200 MDT / 1000-1300 CDT / 1100 EDT)
Date: May 11, 2022
PMLR proceedings from last year's workshop at AAAI 2021
Submission Deadline: April 25, 2022 (extended)
Notification Due: April 30, 2022 (extended)
Preprint Due: May 5, 2022
Camera-Ready Copy Due for PMLR Proceedings: TBD (Tentatively in August)

If you are interested in serving on the Program Committee or the Organizing Committee of this workshop, please fill the Sign Up form linked above.


The workshop will be a full-day event featuring morning and afternoon sessions. In the spirit of fostering new collaborations and meaningful exchange of ideas, care will be taken to allocate sufficient time for discussions and questions. Since the workshop will be a virtual event, time-allocation for talks, panel discussion and Q&A sessions will be done to accommodate maximum participation. The program committee will be accepting long papers (5-8 pages), short papers (2-4 pages/abstracts) and contributed talks and accepted papers will be published in Proceedings of Machine Learning Research (PMLR).

The workshop will begin with brief welcome remarks, followed by a 3 to 4-hour session of invited talks, contributed talks, and half of the oral presentations. The second session will include the second half of papers, followed by an optional poster session. This session will also include a panel discussion. The session will conclude with an online social event open to everyone for one-to-one and many-to-many interaction and networking.

Call for Paper

We invite original contributions that focus on best practices in AI research, education research pertinent to AI, challenges and opportunities for mentoring underserved populations, AI for Good and implications of AI on society. In keeping with the organizers's affiliations with WIML, Black in AI, LatinX in AI, and Queer in AI (whose early presence and development occurred at NeurIPS and ICML), technical areas emphasized will include machine learning with emphasis on reinforcement learning, autonomous agents, multi-agent systems, and their relevant applications in the computer vision and natural language processing domains.

List of Topics

  • 1. Demographic studies regarding AI applications and/or students underserved populations
  • 2. Reports of mentoring practice for AI students from underserved populations
  • 3. Data science and analytics on surveys, assessments, demographics, and all other data regarding diversity and inclusion in AI
  • 4. Survey work on potential underserved populations, especially undergraduate students from such populations 
  • 5. Fielded systems incorporating AI and experimental results from underserved communities
  • 6. Emerging technology and methodology for AI in underserved communities

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Submissions must follow the formatting guidelines for PMLR (one column style file). The following paper categories are welcome:

The following paper categories are welcome:
  • Long papers (5 - 8 pages)
  • Short papers and poster abstracts (2-4 pages)
  • Contributed talks


Program Committee

  • Maria Gini, University of Minnesota
  • Samarth Swarup, University of Virginia
  • Jesús García-Ramírez, Universidad Nacional Autónoma de México
  • Venkat Margapuri, Kansas State University
  • Hayat Ullah, Kansas State University

Organizing Committee

  • William H. Hsu, Kansas State University
  • Farrukh Ali, Kansas State University
  • Nasik M. Nafi, Kansas State University
  • Enock Ayiku, Kansas State University

Workshop Schedule

  • 15:00 - 15:15 UTC: (10:00 CDT) Opening Remarks
  • 15:15 - 15:45 UTC: (10:15 CDT) Invited Speaker
  • 15:45 - 15:15 UTC: (10:45 CDT) Assistance for the visually impaired: a system to identify product information and labels when grocery shopping - Laura Arias Fernandez, Sarah Schmoller, Michael Lucke and Maria Gini
  • 16:15 - 16:45 UTC: (11:15 CDT) Panel Discussion: Diversity, Equity, and Inclusion Needs of the AAMAS Community
  • 16:45 - 16:15 UTC: (11:45 CDT) Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP) - Nancirose Piazza and Vahid Behzadan
  • 17:15 - 17:45 UTC: (12:15 CDT) Social/Mentoring Session
  • 17:45 - 18:00 UTC: (12:45 CDT) Discussion / Closing Remarks

Accepted Papers



Workshop papers will be published in the Proceedings of Machine Learning Research (PMLR) alongside papers from AIDBEI@AAAI-2022 and AIDBEI@IJCAI-2022. Submissions must follow the PMLR standards, and PDF versions should be submitted via EasyChair. Proceedsings of the last AIDBEI Workshop can be viewed in this PMLR Issue.

Contact Us

All questions about submissions should be emailed to (bhsu, farrukhali, nnafi) AT ksu.edu