AIDBEI 2020: AAAI 2020 Diversity Workshop - Mentoring Students from Underserved Populations Hilton New York Midtown New York, NY, United States, February 7, 2020 |
Conference website | http://www.diverseinai.org |
Submission link | https://easychair.org/conferences/?conf=aidbei2020 |
Submission deadline | January 14, 2020 |
The AAAI 2020 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI) is a one-day event at the International Conference of the Association for the Advancement of Artificial Intelligence, focused on sharing current research, best practices, surveys, and calls to service on the topic of mentoring undergraduate students from underserved populations in all areas of AI.
Call for Participation
Organizations for diversity, equity, inclusion, and belonging often emphasize participants from underrepresented populations, which in artificial intelligence includes but is not limited to women, LGBT persons, and persons of color (e.g., Black in AI, LatinX in AI). Meanwhile, many service and outreach workshops, such as those devoted to AI for Social Good at AAAI and the Grace Hopper Conference sessions on technology transfer to rural communities, provide opportunities for technologists to learn about the needs of underserved populations and to in turn give back to some of these communities. Many participants, including the organizers of this workshop, attended both of these kinds of workshops and expressed a wish to find a way to link these communities.
Recognizing intrinsic links between students from underserved populations such as isolated, underprivileged, and underrepresented communities and the frequent incidence among these students of intersectional identity and a desire to help their communities, this AAAI 2020 workshop on Diversity in AI: Mentoring Students from Underserved Populations will be held on Friday, February 7, 2020. It will consist of a two-hour workshop and panel session on the first day of the AAAI conference.
Short papers (2-4 page abstracts, position papers) and long papers (5-8 page surveys, studies, and articles on outreach and education praxis) are invited. For this workshop, we are interested both on best practices and challenges and opportunities for mentoring students from populations that in the past and present have been underserved.
This workshop shall include online follow-up activities such as planning out a call for service to underserved populations in the workshop participants’ communities and allow participants to share their service experiences. The primary objective is to discuss work at the nexus of inclusive AI education, education research pertinent to AI and underrepresented groups of students, and AI for Good as applicable to underserved students’ own communities, and to help share the word about extant efforts to serve such students. This would form the nucleus of an article and/or journal special issue about such efforts and their impact and outcomes to date.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers (5 - 8 pages) describing research on diversity and inclusion in AI, or in the form of surveys, studies, and articles on outreach and education praxis
- Short papers and poster abstracts (2-4 pages) describing work in progress, emerging methodology, and technologies being developed and tested for outreach, education, and research
Submissions should use the AAAI conference Author Kit (LaTeX or Microsoft Word) which is also available as an Overleaf LaTeX template.
List of Topics
- Demographic studies regarding AI applications and/or students from underserved populations
- Reports of mentoring practice for AI students from underserved populations
- Data science and analytics on surveys, assessments, demographics, and all other data regarding diversity and inclusion in AI
- Survey work on potential underserved populations, especially undergraduate students from such populations
- Fielded systems incorporating AI and experimental results from underserved communities
- Emerging technology and methodology for AI in underserved communities
Committees
Program Committee
- William Agnew, University of Washington - VP of External Partnerships, oSTEM
- Omar U. Florez, Capital One - Research Community Lead, LatinX in AI Coalition
- William H. Hsu, Kansas State University - DiverseInAI.org
- Deepti Lamba, Kansas State University - DiverseInAI.org
- (others to be determined)
Organizing committee
- William H. Hsu, Kansas State University
- Deepti Lamba, Kansas State University
Invited Speakers
- (to be determined)
Publication
AIDBEI 2020 proceedings will be published in a venue to be determined in cooperation with AAAI.
Venue
The conference will be held at the Hilton New York Midtown, New York, USA, on Friday, February 7, 2020.
Contact
All questions about submissions should be emailed to bhsu@ksu.edu.