Fifty-eight thousand students must retake an entrance exam after a university's AI proctoring system flagged candidates incorrectly. The software triggered false positives for cheating, sparking widespread protests and demands for transparency. This failure highlights the fragility of automated academic policing. Institutions must now balance efficiency against the high cost of systemic algorithmic error.