IARSLCE 2026 · Pre-conference workshop
Artificial intelligence holds the potential to benefit society in health, the economy, education, and public safety. Sharing those benefits fairly and reducing harm matters, given how technical capacity is concentrated in a few hands, long-standing problems of algorithmic discrimination, transparency, and accountability, and widespread public mistrust of AI.
At Tulane, the Center for Community-Engaged Artificial Intelligence puts community co-creation at the center of how we do research and build computational systems. Our partnerships with New Orleans non-profits and the Tulane Center for Public Service bring community members, students, and researchers together to learn and work side by side.
This workshop covers best practices from the broader research community and what we have learned building systems in partnership with communities to address their needs. Most of the morning is hands-on: you'll bring one problem from your own community-engaged work and think it through with others.
This is the second PACE workshop. The first, PACE '24, was held at HCOMP 2024 in Pittsburgh (workshop summary).
Associate Professor of Computer Science, Tulane University
Co-Director, Tulane Center for Community-Engaged AI
Nick works at the intersection of AI, machine learning, and decision making, with a focus on the impacts of these technologies on society. He co-authored Computing and Technology Ethics: Engaging Through Science Fiction (MIT Press) and works with community partners across New Orleans.
Assistant Professor of Computer Science, Tulane University
Director, NOLA A11y Lab · Affiliate, Tulane CEAI
Saad studies and designs human–AI systems that make communication, information, and public services accessible, including sign language and captioning technologies, reading supports, accessible visualizations, and civic AI.