An AI-Supervised Remote Exam Went So Badly That 58,000 Students Must Retake It

An anonymous reader quotes a report from Ars Technica: Earlier this summer, nearly 160,000 applicants took the entrance exam for UNAM, Mexico's largest university. For the first time, they did it completely remotely, using a "lockdown" browser and AI-powered webcam proctoring software, over several weeks from late May through early June. It was a disaster. When exam results came in, they bore little resemblance to past results, especially at the top. Between 2021 and 2025, 3.5 percent of test takers scored 100 or more on the 120-question UNAM test. This year, 16.3 percent did so. The story was even worse at the highest of the high end. Between 2021 and 2025, 0.9 percent of test takers scored 110 or more; this year, 5.5 percent did so. The surge in top scores led to accusations of widespread cheating, and UNAM appointed a commission of experts to investigate the situation. The group was given the unwieldy name "la Comision Tecnica de Personas Expertas para la Revision del Proceso de Seleccion de Ingreso a Licenciatura para el Circlo Escolar 2026-2027/1," and it has just submitted its recommendations. The commission believes that the best path forward, given all the concerns, is to a