Sommet sur l'IA pour les dirigeants de l'enseignement supérieur

For more info on this keynote, consult the speakers section of the page.

The impact of AI on teaching and learning is one of multiple intersecting crises facing higher education. Too often, AI is treated as if it is occurring in a world apart from these troubles, a problem of technological disruption rather than of social and educational change. Arvind Narayanan’s is a distinctive voice, one that speaks against unwarranted hype of the technology while describing its potential to remake institutions in ways that support education and democracy. His insights about how institutional leaders should approach the adoption of AI technologies during this period of profound political and social change offer a framework for making informed decisions in the coming year.

College writing programs were ground zero for the initial shock of ChatGPT. While the discussion and confusion over what writing means in the age of generative AI continue, writing programs and their teachers have been at the forefront of responding creatively to the educational challenges posed by this still-emerging technology. Jane Rosenzweig taught a writing course titled To What Problem is ChatGPT the Solution? for the first time in the spring 2023. She continues to teach the course and writes for both general and academic audiences about the impact of AI on writing.

Join Russell Stone, Assistant Provost for Academic Assessment at Boston University, to explore how custom-built Copilot agents are transforming university administration. Stone will demonstrate two groundbreaking projects: an automated academic program review system that analyzes five years of departmental data, and an AI policy auditor that scanned thousands of syllabi to map institutional guidance.

Artificial Intelligence is rapidly transforming how institutions operate, decide, and compete. Yet one of its most profound implications lies not in automation, but in how leaders understand the lived experiences of their students, faculty, and staff.

Academic institutions have never had more ways to collect feedback. At the same time, AI now enables us to detect patterns, surface meaning, and generate insight from expression that was previously invisible. The question is no longer whether we can listen, but how we choose to.

In his session, Samer Saab invites academic leaders into a practical and forward-looking conversation about what it means to lead in an age where AI amplifies voice. Together, we will explore how institutions can move beyond episodic listening toward environments where insight emerges continuously, responsibly, and in time to matter.

This session is not about replacing human judgment with algorithms. It is about understanding how AI can strengthen leadership, deepen trust, and support more responsive institutional improvement in an era defined by complexity and expectation.

A discussion around the steps institutions need to take from AI pilot projects to full campus adoption.

More details coming soon.