Princeton University is introducing proctoring to its longstanding honor code system, according to coverage describing the policy shift and its rationale: students say AI-enabled cheating has pushed them past their tolerance for existing peer-monitoring practices. The change reflects the tension between tradition-based compliance and the new enforcement demands created by generative AI. The report describes how the honor code historically relied on students monitoring peers and reporting suspected cheating, but that model is now seen as insufficient as AI use becomes more prevalent. The timing also suggests Princeton is trying to respond before academic integrity incidents become systemic across courses. For higher education institutions, the shift is a concrete signal that AI is driving operational changes in assessment design and proctoring strategies, not just classroom guidance. It may also influence how universities budget for integrity tooling and train faculty and students on revised expectations. As peer accountability models erode, the bigger question for universities is whether proctoring increases deterrence without undermining trust and student participation in integrity systems.