Faculty at NYU and other institutions are experimenting with oral exams and AI-proof assessments after noticing student submissions that read like polished consulting memos but lacked demonstrable understanding. Panos Ipeirotis at NYU’s Stern School of Business implemented AI-informed oral exams to probe comprehension when written assignments resembled machine‑generated work. At the same time, campus IT leaders warn that expanding AI tools — from LMS-integrated assistants to camera-based proctoring — raises student privacy and data-security risks. Universities face tradeoffs between adopting AI-enabled teaching tools and protecting biometric and personally identifiable information; IT offices are tasked with vetting vendors, updating contracts, and clarifying acceptable uses of student data.