Universities can build all the AI infrastructure they want, but if faculty aren't on board, none of it lands in the classroom. Recent surveys make clear what many academic leaders already sense but rarely say out loud: there's a real and widening divide between faculty skepticism and administrative impatience on AI. The question isn't who's right. It's how you close the gap. In this episode, Jeff and Michael explore this topic with Pradeep Khosla (Chancellor, University of California, San Diego), Sonya Christian (Chancellor, California Community College System), and James Frazee (VP and CIO, San Diego State University). This episode is made with support from Google.
Chapters
0:00 - Episode Trailer 2:20 - Intro 3:36 - Why Are Students Both Using, and Booing AI? 6:10 - How Should College Leaders Talk About AI? 10:05 - Is Inconsistency in AI Policy a Feature or a Bug? 12:52 - Using Data to Drive Faculty Discussions on AI 14:33 - Invest in People, Not Just Tools 16:33 - Helping Faculty Feel Safe to Try AI 20:24 - Can Colleges Afford AI In Times of Budget Crisis? 23:26 - Encouraging All Disciplines to Try AI 26:30 - Do Professors Trust Administrators on AI? 30:14 - Sponsor Break 30:44 - AI’s Impact on the Value of the Degree 34:48 - How is AI Really Impacting the Job Market? 38:08 - The Future of Assessment 42:38 - Does Traditional Faculty Governance Work for AI? 45:46 - What Professors Do That AI Can’t 46:41 - When Industry Moves Faster Than Education 49:12 - The Importance of Faculty Development in AI 52:15 - Closing Thoughts on AI at Colleges
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