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AAAI 2020 Workshop on Diversity in Artificial Intelligence

Artificial Intelligence - Diversity, Belonging, Equity, and Inclusion (AIDBEI): Mentoring Students from Underserved Populations

Place: Hilton New York Midtown, New York, NY, United States
Date: February 7, 2020
Time: 1400 - 1700 EST
Room: Concourse E
Sign up for the Affinity Grouphttps://forms.gle/moNuBrHyFw9WT37w8
Conference websitehttp://www.diverseinai.org
Submission linkhttps://easychair.org/conferences/?conf=aidbei2020
Submission deadlineDecember 23, 2019

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 three-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.


List of Topics



Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

Submissions should use the AAAI conference Author Kit (LaTeX or Microsoft Word) which is also available as an Overleaf LaTeX template.


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
  • Lourdes Ramírez Cerna, Universidad Nacional de Trujillo
  • Edwin Escobedo Cardenas, Federal University of Ouro Preto
  • Jessica Elmore, K-State Alumni Association
  • Emily Alfs, Kansas State University
  • Matias Valdenegro-Toro, German Research Center for Artificial Intelligence
  • Adedolapo Okanlawon, Kansas State University
  • Syrine Belakaria, Washington State university
  • Ademola Okerinde, Kansas State University
  • Stephanie Milani, University of Maryland, Baltimore County
  • William H. Hsu, Kansas State University
  • Deepti Lamba, Kansas State University

Organizing committee

  • William H. Hsu, Kansas State University
  • Deepti Lamba, Kansas State University


Invited Speakers

  • Jennifer Healey, Adobe, WiML
  • Pablo Rivas, Marist College


Panelists

  • Jessica Elmore, K-State Alumni Association
  • Kush Varshney, Thomas J. Watson Research Center
  • Omar U. Florez, Capital One - Research Community Lead, LatinX in AI Coalition
  • Shira Mitchell, New York City Mayor's Office of Data Analytics


Workshop Schedule

Session I
2:00 - 2:10   Welcome Note by co-chair Dr. William Hsu
2:10 - 2:30   Corpus Based Amharic Sentiment Lexicon Generation - Girma Neshir Alemneh
2:30 - 3:10   Panel on Diversity and Inclusion
3:10 - 3:30   Dr. Jennifer Healey
3:30 - 4:00   Break & Poster Session
Session II
4:00 - 4:20   Eliminating self-selection: Using data science for authentic undergraduate research in a first-year introductory course - Dr. Lior Shamir
4:20 - 4:40   Analysis of Latin America and the Caribbean Government Readiness for AI - Dr. Pablo Rivas
4:40 - 4:50   Transfer Learning Approach to Detecting Electrical Insulators with CNN - Ademola Okerinde
4:50 - 5:00   Concluding Remarks



Publication

AIDBEI 2020 proceedings will be published in a venue to be determined in cooperation with AAAI.



Venue

Place: Hilton New York Midtown, New York, NY, United States
Date: February 7, 2020


Contact Us

All questions about submissions should be emailed to bhsu@ksu.edu.