A university student says they could lose a $45,000-a-year scholarship and face academic suspension after an automated plagiarism tool allegedly flagged their six-month senior thesis as 98% AI-generated, reviving concerns over AI detection tools in education.
TL;DR
- A student claims a 30-page thesis was wrongly flagged as AI-generated.
- They say a disciplinary board refused to review Google Docs history.
- The case has renewed debate over whether AI detectors should influence high-stakes academic decisions.
According to a report by Moneycontrol, the student said they attend a private university in New York on a merit-based scholarship worth $45,000 a year. The controversy reportedly began after the university’s automated plagiarism software identified their 30-page senior thesis as having a 98% probability of being AI-generated.
The student claimed the thesis was written manually over six months and said they brought their laptop to a preliminary hearing to show Google Docs version history. They said the document history could show the writing process edit by edit and typo by typo, but alleged that the board refused to examine it.
“The disciplinary board literally refused to look at my screen,” the student reportedly wrote, adding that the university relied strictly on the software’s official report. The proposed action, according to the post, includes a failing grade, academic suspension, and immediate loss of the scholarship.
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“I cannot afford to pay $45k out of pocket to finish my degree,” the student reportedly said, adding that the outcome could damage their future career.
The incident remains unverified beyond the student’s online account, and neither the university nor the specific detection platform has been publicly confirmed. However, the case has gained attention because it touches a broader issue facing schools and colleges, whether automated AI-writing scores should be used in disciplinary decisions.
That debate is not new. Turnitin, one of the best-known academic integrity platforms, says false positives remain possible and that an AI writing score should not be used as the sole basis for adverse action against a student.
Turnitin has also said it does not make misconduct determinations and that instructors should apply professional judgment, institutional policy, and assignment context when reviewing AI-writing reports.
Several universities have echoed similar concerns. Vanderbilt University disabled Turnitin’s AI detection tool in 2023, saying that even a claimed 1% false positive rate could have incorrectly flagged around 750 papers if applied to the 75,000 papers submitted to Turnitin by Vanderbilt in 2022.
Stanford researchers have also warned that AI detectors can be especially unreliable for non-native English writers. In one study highlighted by Stanford HAI, 61.22% of TOEFL essays written by non-native English students were classified as AI-generated by detectors.
Cornell University’s teaching guidance says detection tools cannot provide evidence for their claims and carry significant margins of error, raising the risk that students may be wrongly accused. Duke University’s guidance similarly says detection results should never be the sole evidence of academic dishonesty.
For universities, the challenge is balancing genuine concerns over AI-assisted cheating with fair review processes. For students, the stakes can include grades, scholarships, academic standing, and future career plans.
