Conference on AI and Higher Education

The rapid emergence of artificial intelligence is reshaping teaching, learning, institutional operations, and the future of academic work. Colleges and universities are moving quickly—from isolated experimentation toward coordinated, institution-wide strategies that address academic integrity, curricular transformation, workforce preparation, and operational innovation. The AAC&U Conference on AI and Higher Education convenes leaders from across the campus ecosystem to share evidence-based practices, examine persistent challenges, and develop integrated approaches to responsible AI adoption.

Designed for faculty, staff, presidents, provosts, academic leaders, student affairs professionals, IT specialists, librarians, researchers, administrators, institutional decision-makers, and other higher education stakeholders, the conference highlights practical strategies institutions can implement now while exploring longer-term governance, policy, and ethical considerations. Participants will leave with concrete tools, cross-institutional insights, and collaborative connections that support mission-aligned AI innovation. With its cross-functional focus and emphasis on institutional strategy, the conference complements AAC&U’s broader AI programming by centering campus-wide transformation and governance, building on the important work already happening within disciplines and individual classrooms.

Who Should Attend

This event convenes faculty, staff, presidents, provosts, academic leaders, student affairs professionals, IT specialists, librarians, researchers, administrators, institutional decision-makers, and other higher education stakeholders, to share emerging practices and develop practical, ethical, and sustainable approaches to AI use. Participants will explore evidence-informed classroom and curricular practices, approaches and ethics for research, strategies for AI-enhanced student support and services, and operational uses that increase effectiveness while protecting human judgment and institutional values. In addition to improving classroom and professional practices, attendees will engage broader institutional questions, including how to bridge efforts across academic and administrative divisions, align AI initiatives with institutional mission, and identify governance, policy, IT, and professional-development needs.