The Center for Equitable AI & Machine Learning Systems (CEAMLS) at Morgan State University is pleased to invite proposals for talks, posters, workshops, or panel discussions at the

2025 National Symposium on Equitable AI
https://www.morgan.edu/ceamls/equitable-ai-symposium/equitable-ai-symposium-(2025)

to be hosted at
Morgan State University in Baltimore, Maryland,
on April 5-6, 2025.

The theme of the 2025 conference is
"AI in Practice: Impacts, Risks, and Opportunities."

2025 speakers include:
Sina Fazelpour (Northeastern University)
Fay Cobb Payton (North Carolina State University / Rutgers University)
Arjune Sen (Oxford University)
Mona Sloane (University of Virginia)
Agus Sudjianto (Wells Fargo Bank)
Alexander Williams Tolbert (Emory University)
Gloria Washington (Howard University)
Rachel Graham (Baltimore Office of Promotion of the Arts)
Willie May (Morgan State University)
(This is an evolving list.)

Abstract Submission Link: https://www.morgan.edu/ceamls/equitable-ai-symposium/equitable-ai-symposium-(2025)
Abstract Submission Deadline: November 15, 2024
Notifications of Acceptance: January 10, 2025
Conference Registration Fee: $0 (free)

The Center for Equitable AI & Machine Learning Systems (CEAMLS) at Morgan State University hosts the National Symposium on Equitable AI each year. The event brings together technologists, researchers, policymakers, and stakeholders for critical and constructive reflection on artificial intelligence’s past, present, and future, with special attention to issues of equity and racial bias.

For our 2025 theme, we especially welcome talks and presentations on
• how AI is currently deployed in practice
• risk and impact assessment approaches for AI applications
• positive use cases for new and emerging AI technologies

Among others, we welcome discussions of impacts, risks, and opportunities in the following areas:

Economy
⋅ labor market displacement
⋅ automated decision-making in real-world practice
⋅ parity and equity throughout the AI-mediated workforce

Environment
⋅ AI’s carbon footprint
⋅ AI applications for managing environmental risks
⋅ agriculture, land-use, and natural resource management
⋅ AI and the built environment

Education
⋅ AI in K-12 education
⋅ AI in higher education
⋅ individualized learning

Healthcare
⋅ precision medicine and personalized medicine
⋅ AI and social determinants of health
⋅ AI for safety and security of health benefit systems
⋅ AI for behavioral health

Criminal Justice
⋅ criminal risk assessment tools in practice
⋅ predictive policing: risks and impacts, including for biases and equity
⋅ AI applications for evaluation of equity and bias in policing

Diversity
⋅ studies of diversity’s impacts on AI research
⋅ conceptualizing diverse diversities: disciplinary, cultural, etc.
⋅ AI-supported communication and integration in diverse team

Questions may be directed to Phillip Honenberger at jaywilliam.honenberger@morgan.edu or Ashlee Kirkland at ashlee.kirkland@morgan.edu.