Brown University Releases Generative AI Teaching Committee Report With Policy Recommendations

Brown University formed the Generative AI in Teaching and Learning (GAITL) Committee in early 2025, co-chaired by computer science professor Michael Littman, who became Brown's first associate provost for AI in July 2025. The committee released a report in July 2026 detailing its findings and recommendations. Provost Francis J. Doyle III said the university prioritizes sustaining academic excellence while maximizing AI's benefits and mitigating its risks.

How universities set rules for generative AI use directly affects course design, student assignments and assessment, and the standards for academic integrity. Brown's committee report and dedicated associate provost offer a governance path other universities can reference; if its recommendations are adopted, they will change the conditions for AI adoption in classrooms. The report's specific recommendations are not disclosed in the source, so actual implementation remains to be seen. University AI use policies and academic integrity rules may shift with the report's recommendations, affecting faculty assessment and student assignment requirements. Creating an associate provost for AI and issuing a university-level report offers a governance model other universities can reference.