Princeton University moved to introduce AI-relevant changes to its honor system by adding proctoring and altering a century-old practice in which students monitored peers and reported suspected cheating. The reported shift reflects growing student frustration as AI use becomes more prevalent, changing how cheating detection and trust-based governance are expected to work. The announcement also sits inside a broader debate about academic integrity enforcement, including concerns that cheating by faculty researchers and broader research misconduct may be underpunished compared with the focus on student AI use. For higher education leaders, the immediate impact is campus policy and student learning conditions: proctoring and honor-code redesigns require updated practices for faculty training, assessment redesign, and communications around student rights and expectations. Campuses that rely on peer monitoring may be forced to rebuild integrity models that balance deterrence and academic freedom while responding to the new failure modes introduced by generative AI.