AI Proctoring Failure at UNAM Forces 58,000 Students to Retake Entrance Exam

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Nearly 160,000 applicants sat for the entrance exam to Mexico's largest university, UNAM, under an AI-powered remote proctoring system that used lockdown browsers and webcam monitoring. Despite these measures, top scores surged to nearly five times the historical average, signaling widespread cheating. Investigations revealed that students had shared methods online before the exam, including placing extra screens outside the webcam's field of view and using hidden wireless earbuds. The AI system could only monitor what appeared within the camera frame, leaving entire portions of each student's environment unobserved. The anomaly was significant enough that UNAM required approximately 58,000 applicants to retake the exam under in-person supervision.

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