# Dartmouth Provost Resigns Over Undisclosed AI Usage Academic integrity failure leads to resignation after undisclosed LLM use in published works. - **Source:** [Ars Technica - All content](https://brifing.si/source/b728770c-8dda-457a-8986-84879c9fc42c) - **Published:** 2026-10-30 - **Topic:** [Leadership](https://brifing.si/c/leadership) - **Original article:** - **On Brifing:** https://brifing.si/s/49e18d06-71f7-43f5-af9e-8ec709e69749 ## Provost Resigns Following Investigation Santiago Schnell, the provost of Dartmouth College, resigned this week after an advisory committee investigation. The probe focused on his failure to disclose the use of generative AI in an academic paper and a Washington Post op-ed. These publications explicitly required authors to declare any AI assistance during the drafting process. ## Contradictory Public Stance On August 9, 2026, Schnell authored an op-ed in the Washington Post titled 'Universities are fighting AI cheating. But there’s a deeper problem.' Ironically, his own resignation stems from the exact issue he publicly addressed. His failure to adhere to disclosure policies undermined his credibility regarding institutional academic integrity and AI governance. ## Insufficient Cooperation During Probe The advisory committee report explicitly cited 'insufficient cooperation' from Schnell during the investigation. While he surrendered his university-issued laptop, he refused to provide logs from his personal LLM accounts. Furthermore, he declined to meet with the committee, which significantly hindered their ability to fully audit the extent of his AI usage. ## Evidence from Enterprise Accounts Investigators successfully accessed Schnell’s Claude enterprise account provided by Dartmouth. The logs revealed that he utilized the LLM for various tasks, including revising academic papers, identifying and fixing bugs in code, and generating figures. This digital footprint provided the committee with concrete evidence of his reliance on AI tools for professional work. ## Institutional Disclosure Requirements Academic publishers and institutions are increasingly mandating transparency regarding AI-assisted content creation. By failing to disclose his use of Claude, Schnell violated these established ethical standards. The committee’s findings highlight that even high-ranking administrators are subject to the same rigorous disclosure protocols expected of faculty and students within the academic community. ## The Mechanics of AI Assistance The investigation detailed how Schnell used Claude to refine his writing and technical output. By asking the model to process his papers, he bypassed the requirement for original authorship transparency. This case demonstrates how easily LLMs can be integrated into academic workflows, creating significant challenges for institutions attempting to enforce strict integrity. ## Consequences of Opaque Practices The resignation underscores the severe professional consequences of failing to maintain transparency in an era of generative AI. By withholding personal logs and refusing to cooperate, Schnell transformed a policy violation into a leadership crisis. His departure serves as a cautionary tale for administrators balancing technological adoption with institutional ethical obligations. ## Broader Implications for Academia This incident highlights the tension between leveraging AI for productivity and maintaining academic rigor. As universities grapple with AI integration, leaders are expected to model the very transparency they demand from others. The case reinforces that institutional trust is fragile and hinges on the consistent application of disclosure rules across all levels. ## Sources covering this story - https://arstechnica.com/tech-policy/2026/10/dartmouths-provost-warned-us-about-ai-cheating-but-his-own-ai-use-cost-him-his-job/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._