Dartmouth's provost warned us about AI cheating—but his own AI use cost him his job

Ars Technica News

Summary

达特茅斯学院教务长因在自己AI相关论文中大量使用AI却未充分披露而辞职,凸显了高校领导者在AI使用披露标准上的矛盾。达特茅斯校长Beilock虽强调要拥抱更多AI,但也要求领导层以身作则,向学生和学者示范透明度。

<p>On August 9, 2026, Dartmouth College provost Santiago Schnell wrote a <a href="https://www.washingtonpost.com/opinions/2026/08/09/university-fight-against-ai-cheating-doesnt-go-far-enough/">Washington Post op-ed</a> called "Universities are fighting AI cheating. But there’s a deeper problem." This week, Schnell discovered the depths of the problem himself as he resigned from the university after an advisory committee <a href="https://president.dartmouth.edu/sites/president/files/2026-10/Advisory%20Committee%20Report%20to%20President%202026-10-27.pdf">found</a> that he failed to disclose significant AI use in an academic paper and in the Washington Post op-ed, even though publishers required such disclosure.</p> <p>Schnell didn't make it especially easy for the committee to investigate his AI use; the report uses the term "insufficient cooperation." He did turn over his Dartmouth laptop, but he did not turn over logs from his personal LLM accounts related to the writings in question. Nor did he agree to meet with the committee.</p> <p>The committee did get access to the Claude enterprise account Schnell had used through Dartmouth, though. This shows him using the LLM as a tool for revising his papers, finding and fixing bugs in code, and editing or generating figures. For instance, Schnell would run his papers through Claude and ask things like:</p><p><a href="https://arstechnica.com/tech-policy/2026/10/dartmouths-provost-warned-us-about-ai-cheating-but-his-own-ai-use-cost-him-his-job/">Read full article</a></p> <p><a href="https://arstechnica.com/tech-policy/2026/10/dartmouths-provost-warned-us-about-ai-cheating-but-his-own-ai-use-cost-him-his-job/#comments">Comments</a></p>
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# Dartmouth's provost warned us about AI cheating—but his own AI use cost him his job Source: [https://arstechnica.com/tech-policy/2026/10/dartmouths-provost-warned-us-about-ai-cheating-but-his-own-ai-use-cost-him-his-job/](https://arstechnica.com/tech-policy/2026/10/dartmouths-provost-warned-us-about-ai-cheating-but-his-own-ai-use-cost-him-his-job/) Despite the scandal, Dartmouth President Sian Leah Beilock wants more AI\. \(She wrote a[piece for The Atlantic](https://www.theatlantic.com/ideas/2026/09/universities-prohibiting-ai-classroom/688509/)in September called “Why I Want More AI at Dartmouth\.”\) What’s crucial, though, is that the school’s leaders should “hold themselves to the highest standards,” she said\. This appears to mean one main thing: disclosure\. In[announcing Schnell’s resignation](https://president.dartmouth.edu/news/2026/10/update-provost-review), Beilock wrote that “each of us brings a different perspective on how and when to incorporate AI into our work and our lives\. Moreover, keeping Dartmouth at the forefront of AI inevitably means leading through an environment that is fluid and fast\-changing\. That is why, as leaders, it is so critical that we model the transparency and human judgment that we expect from our students and scholars\.” ## Who wrote this? What does “disclosure” mean? In a[September 2026 paper](https://arxiv.org/pdf/2609.13660)on AI detection tools, called “Who Wrote This?”, Schnell himself goes to great lengths to argue that “human\-written” or “AI\-written” is far too simple a binary\. In his view, everything will become a mix of human judgment and AI work, and there’s nothing wrong with that\. The key for him is that the human author takes full responsibility for the text, however it was composed and edited\. In the paper, Schnell lays out his method for producing it\. It’s worth quoting at some length: > In September 2026, I asked OpenAI’s GPT\-5\.6 Pro whether an AI\-written essay could ever be identified with certainty, and I suggested connecting the problem to Turing’s imitation game and to the “reverse” Turing test posed by AI\-text detection\. GPT\-5\.6 Pro connected the question to binary hypothesis testing and statistical decision theory, proposed early structures and titles, identified candidate literature, and generated portions of early drafts\. I chose the problem, journal, audience, and eventual direction of the argument\. I decided which examples and results should remain central, including the decision to retain the Liang study while confronting it with important counterevidence\. I checked the cited literature, rejected or corrected claims that I judged inaccurate, corrected mathematical and conceptual errors, and reorganized the argument\. In revising the manuscript, I rewrote most sections and added substantial explanations\. I occasionally asked GPT\-5\.6 Sol to provide language\-editing assistance for sections I had rewritten\. I created the figures and made the final decisions about the mathematics, interpretation, sources, organization, and wording\. I take full responsibility for the resulting manuscript\. Before submitting the manuscript for publication, I also asked GPT\-5\.6 Pro and Anthropic Claude Fable 5\.1 to review it critically and identify issues that reviewers might raise\. I evaluated the issues they identified and made corrections where I judged them warranted\. Despite all this assistance, Schnell resists the idea that AI is a “co\-author\.” Instead, he writes, “Calling \[the paper\] ‘coauthored’ would introduce a different confusion\. Mathematical tools have long made substantive contributions without thereby becoming authors… The point is not that the software contributed nothing\. It is that contribution and authorship are different roles\.”

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