Dr. Neelu Sinha Professor Dept. of Mathematics and Computer Science at Fairleigh Dickenson is part of a committee that’s organizing a symposium called “Increasing Diversity in AI Education and Research” in March 2024. It’s part of the Spring Symposium series that’s funded by the Association for the Advancement of Artificial Intelligence (AAAI) at Stanford. Our symposium is just 1 of 8 AI-related symposia happening all at the same time (check out the link above for the full list). Please consider submitting a conference abstract (deadline: January 2, 2024) or sharing it with colleagues who may be interested.
"Our symposium’s foci are
(1) AI at Minority-Serving Institutions (MSIs)
(2) AI for good, and
(3) Addressing Digital Inequality.
Check out more details below.
Increasing Diversity in AI Education and Research
https://sites.google.com/uncc.
AI’s ubiquitous rise has revolutionized industries, societies, and economies, but a stark imbalance persists in representation, particularly among those affiliated with Minority-Serving Institutions (MSIs). Bridging this gap is critical for fostering inclusive AI development and deployment. The symposium aims to provide a platform for stakeholders to address barriers faced by historically excluded and marginalized students in AI education. We seek candid conversations on strategies to attract and retain diverse talents, expanding beyond administrative guidelines to redefine AI goals and priorities. We invite a broad range of submissions on the outlined topics and related areas. Join us in shaping the future of AI education in K-12 and higher ed by contributing your insights, research, and experiences. Be part of a transformative dialogue that goes beyond discussions to catalyze meaningful change.
Topics
AI at Minority-Serving Institutions (MSIs): This symposium will spotlight the significant potential within Minority-Serving Institutions (MSIs) in cultivating AI talent. Presentations and discussions will highlight the successes and insights garnered from these institutions. Topics include current training initiatives at HBCUs, HSIs, TCUs, and AAPISIs, seeking to distill actionable strategies for wider adoption. Papers are encouraged that spotlight successful collaborations between MSIs, non-MSIs, industry, and government agencies.
AI for good: The impact of reframing AI from making machines more intelligent than humans to a human-centered and social justice focus for advancing AI has the potential to increase the diversity of people drawn to AI education and research. Topics include how AI for good creates diverse pathways, as well as a broad range of careers for AI professionals in industry, policy, entrepreneurship, and beyond. Topics include how institutions committed to AI for good can attract and train students to thrive in the dynamic landscape of AI.
Addressing Digital Inequality: In an era defined by technological advancement, ensuring accessibility is fundamental to achieving true inclusivity. This topic includes the critical issue of digital inequality and its profound impact on AI education. This topic addresses the multifaceted challenges that arise from uneven access to resources and technologies, particularly for students from underrepresented backgrounds.
Format
The symposium will consist of invited speakers, paper presentations, panel discussion, breakout discussions, and a poster session.
Submission
Interested participants should submit either full papers (8 pages maximum) or extended abstracts (2 pages maximum). Submissions should state your contribution type: position paper, research paper, methods paper, review paper, or experience paper.
Please submit via EasyChair.
Organizing Committee
Jessica Coates (Spelman College), Nate Derbinsky (Northeastern), Bonnie Dorr (University of Florida), Judy Goldsmith (University of Kentucky), Naja Mack (Morgan State), Mary Lou Maher (UNC Charlotte), Jamie Payton (Temple and Invite AI), Jodi Reeves (National University and TILOS), Mehran Sahami (Stanford), Neelu Sinha (Fairleigh Dickinson University), Melo-Jean Yap (Johns Hopkins), Clement G. Yedjou (Florida A&M)
For More Information
https://sites.google.com/uncc.