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

Description: 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 et AI text detection system developers developed an AI system deployed by Yale University , Universities , Professors , Institutions of higher education et Educational communities, which harmed University students , Thierry Rignol , Students et Non-native English speakers.
Systèmes d'IA présumés impliqués: GPTZero , AI text detection systems , AI detector technology et AI content detection models

Statistiques d'incidents

ID
1632
Nombre de rapports
1
Date de l'incident
2024-06-11
Editeurs
Daniel Atherton

Rapports d'incidents

Chronologie du rapport

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

Une "Variante" est un incident de l'IA similaire à un cas connu—il a les mêmes causes, les mêmes dommages et le même système intelligent. Plutôt que de l'énumérer séparément, nous l'incluons sous le premier incident signalé. Contrairement aux autres incidents, les variantes n'ont pas besoin d'avoir été signalées en dehors de la base de données des incidents. En savoir plus sur le document de recherche.
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