Lead: Business schools and university staff are accelerating AI adoption—but campuses are split between experimentation and policy uncertainty. Duke’s Fuqua School is piloting an AI system that records, attributes and analyzes classroom participation; an institutional survey finds widespread AI use among university employees yet unclear guidance on acceptable practices. What happened: Fuqua deployed recorded audio/video, seat‑checkins and attribution software to generate participation transcripts and metrics for faculty use. Meanwhile a workforce report shows most university employees use AI but many lack clarity on institutional expectations, creating governance, privacy and equity questions. Who’s involved: Duke Fuqua, faculty, students, IT and privacy officers, and institutional HR and policy teams. Why it matters: Classroom analytics promise fine‑grained assessment and pedagogical feedback, but they raise consent, data‑ethics and equity issues. Institutions must align pilot projects with privacy rules, update acceptable‑use policies, and train both faculty and staff on AI governance.