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IJCAI 2022 Seminar on Diversity in Artificial Intelligence

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

Welcome to IJCAI AIDBEI 2022 Seminar!

The IJCAI 2022 Seminar on Artificial Intelligence - Diversity, Belonging, Equity, and Inclusion (AIDBEI) is a half-day in-person event featuring two 90-120 minutes at the International Joint Conference on Artificial Intelligence (IJCAI) 2022. This workshop is the fifth in the series of seminars organized by Diverse In AI, an affinity group which aims to foster links between participants from underrepresented populations in artificial intelligence. Diverse in AI was founded with the support and participation of our allies from Black in AI, WiML, LatinX in AI, Queer in AI, Disability in AI, Indigenous in AI, and the Black in X Network.


Venue: Messe Wien, Vienna, Austria
Date: Saturday, July 23, 2022
Start Time (Tentative): 14:00 PM
End Time (Tentative): 17:30 PM
PMLR proceedings from last year's workshop at AAAI 2021
Submission Deadline: Friday, May 31, 2022
Notification Due: Friday, June 15, 2022
Preprint Due: Friday, June 30, 2022
Camera-Ready Copy Due for PMLR Proceedings: TBD (Tentatively in Aug 2022)

Call for Participation

DiverseInAI.org is an affinity group which aims to foster links between participants from underrepresented populations in the field of artificial intelligence. After organizing diversity and inclusion workshops at AAAI in 2020, 2021, and 2022, and being invited to develop a D&I workshop at AAMAS 2022 (which hold in May 2022), our members wish to organize a similar seminar at IJCAI. The organizers of this seminar strongly believe in facilitating entry by diverse members of our society – as 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 (GHC), 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.

The seminar will be a half-day event featuring two 90-120 minute 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 seminar will be in-person, time-allocation for talks, panel discussion, poster session, and Q&A sessions will be done to accommodate maximum participation and used Whova app. All the talks and presentation was recorded by the presenter due to pandemic who cannot attend in-person. The program committee will aim at accepting papers for long papers (5-8 pages), short papers (2-4 pages/abstracts) and contributed talks. The contributions should 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

The workshop will begin with brief welcome remarks, followed by a 90-120 minute 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 as has been held at the previous three DiverseInAI.org workshops. The session will conclude with an online social event open to everyone, using the gather town platform for one-to-one and many-to-many interaction and networking. A mentoring sub-event will be offered to junior attendees during the online social event in order to encourage interactions.

List of Topics

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' 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, computer vision and natural language processing.

  • 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(single column style).

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

Committees

Program Committee

  • Dr. William Hsu, Kansas State University
  • Farrukh Ali, Kansas State University
  • Yihong Theis, Kansas State University
  • Dr. Huichen Yang, Kansas State University
  • Nasik Muhammad Nafi, Kansas State University
  • Enock Ayiku, Kansas State University

Organizing committee

  • Dr. William H. Hsu, Kansas State University
  • Yihong Theis, Kansas State University

Panelists

  • TBD
  • TBD
  • TBD
  • TBD

Contact Us

All questions about submissions may be emailed to (bhsu, yihong) AT ksu.edu.