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Incidente 1632: Yale Student Suspended and Given F After GPTZero Allegedly Misclassified Exam as AI-Generated

Descripción: In 2024, Yale University reportedly used GPTZero as one factor in investigating whether Executive MBA student Thierry Rignol used AI on an exam. Rignol reportedly denied cheating and alleged the detector falsely classified his writing as AI-generated. Yale reportedly later suspended him for a year and gave him an F, while citing additional evidence and his conduct during the investigation. Rignol has challenged the process in federal court.
Editor Notes: The incident ID date is 06/11/2024, marking when one of the course professors reportedly emailed the dean about the suspicions. For more information on the case, please consult the docket here: https://www.courtlistener.com/docket/69607031/rignol-v-yale-university/. The incident ID was created 08/13/2026.

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Alleged: GPTZero y AI text detection system developers developed an AI system deployed by Yale University , Universities , Professors , Institutions of higher education y Educational communities, which harmed University students , Thierry Rignol , Students y Non-native English speakers.
Sistemas de IA presuntamente implicados: GPTZero , AI text detection systems , AI detector technology y AI content detection models

Estadísticas de incidentes

ID
1632
Cantidad de informes
1
Fecha del Incidente
2024-06-11
Editores
Daniel Atherton

Informes del Incidente

Cronología de Informes

Incident OccurrenceHow a Yale AI-cheating dispute became a 13-count federal lawsuit
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How a Yale AI-cheating dispute became a 13-count federal lawsuit

How a Yale AI-cheating dispute became a 13-count federal lawsuit

arstechnica.com

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How a Yale AI-cheating dispute became a 13-count federal lawsuit
arstechnica.com · 2026

Thierry Rignol is furious at Yale.

Rignol paid Yale $208,500 in tuition for its Executive MBA program. But after he was accused of cheating, the school suspended him for a year and gave him an F in the course Sourcing and Managing Funds.

Th…

Variantes

Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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