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

Incident Stats

Incident ID
1632
Report Count
1
Incident Date
2024-06-11
Editors
Daniel Atherton

Incident Reports

Reports Timeline

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…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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