U-M convenes scholars, industry leaders to shape human-centered AI
EVENT ANNOUNCEMENT
DATE: 9:30 a.m.-6 p.m. Oct. 29, 2025
EVENT: As artificial intelligence reshapes nearly every aspect of society, the University of Michigan School of Information and the Michigan Institute for Data and AI in Society will convene leading voices from academia and industry to chart a more human-centered future for the technology.
The U-M Symposium on Human-Centered AI will feature keynote addresses, research talks, poster sessions and a panel discussion, all centered on designing AI systems that amplify human capabilities while addressing issues of fairness, transparency and trust.

By centering people in conversations about the future of AI, the event highlights U-M’s interdisciplinary strength and its commitment to shaping technologies that work for society as a whole. The symposium brings together a distinguished lineup of keynote speakers and featured presenters, each offering unique perspectives on how AI can be designed with people at the center.
MIDAS affiliate David Jurgens, associate professor of information and of electrical engineering and computer science, underscores why these conversations matter now more than ever. He is co-organizing the symposium with Sabina Tomkins, assistant professor of information and faculty associate at U-M’s Center for Political Studies.

“AI is touching nearly every part of society, which raises important questions about how we center humans in the development of AI,” Jurgens said. “I hope attendees leave with a clearer sense of how human-centered approaches can be applied in their own research, teaching or applications—and with new collaborations that advance this vision of building AI that supports people and society.”
PLACE: Rackham Amphitheatre, 915 E. Washington Street, Ann Arbor
SPONSORS: Michigan Institute for Data Science, University of Michigan School of Information
REGISTRATION: To attend or submit a poster, visit this page.
INFORMATION: For a list of symposium speakers, visit the web page.
