Princeton University introduced proctoring and modified its longstanding honor-code practices after student pushback tied to generative AI use, according to reporting on the policy change. The move reflects rising pressure across elite campuses to preserve academic integrity while AI tools make it easier to bypass traditional assessment expectations. The reporting describes a system where students previously monitored peers and reported suspected cheating under a century-old tradition, but that model is now under strain. With AI in the classroom and for assignments, students reportedly reached a breaking point on how the existing honor framework can function. The policy shift highlights a common institutional dilemma: honor codes depend on trust and shared norms, but AI use complicates what “unaided work” means and how faculty can verify authorship. As AI-enabled misconduct becomes more difficult to detect, Princeton’s proctoring rollout signals a broader move toward hybrid integrity systems that blend tradition with enforced controls.