UB hosts national AI leaders this week

National leaders in higher education, industry and public policy will convene this week at the Jacobs School of Medicine and Biomedical Sciences for a major summit exploring how artificial intelligence can address some of society’s most pressing challenges.

Inside Higher Ed’s U.S. AI Summit 2026, co-organized by Times Higher Education, will be held June 3–4, drawing over 170 participants from universities and organizations nationwide and around the world.

“There is no clear agenda for public AI, for what we as a society want AI to do for the public good,” says Jeff Grabill, dean of the College of Arts and Sciences. “We look forward to hosting an event focused on the role of the university in advancing trustworthy and responsible AI for the public good.”

The conference will bring together thought leaders from academia, government and industry – including UB experts – to examine how AI is reshaping health care, education, sustainability and other critical sectors. Speakers will also discuss the cross-sector partnerships and practical strategies needed to advance trustworthy, responsible AI for social good.

Among the 33 speakers are Jason Abel, head of microeconomics, Federal Reserve Bank of New York; Eleonore Fournier-Tombs, chief AI officer, New York State; and Valerie Kennedy, founder, Harlem FutureThink.

The full list of speakers can be found online..

Day one of the summit will focus on putting AI into practice, with sessions exploring how to safeguard against risks, amplify human creativity and redefine the labor market. Speakers will highlight the role of higher education in shaping the direction of AI, discuss how universities can keep pace with the demand for AI skills and explore strategies for moving at the speed of industry demand.

Day two will focus on sustaining and scaling AI, with sessions focused on how to design AI for the public good, secure trust in AI systems and prioritize human-verified information. The agenda includes a spotlight on Empire AI at UB, a roadmap of priorities through 2030 and recommendations for a collective AI statement.