The most comprehensive database of AI policies of top US universities, searchable, comparable, and updated from primary sources.
As AI transforms higher education, universities across the United States are developing policies to guide its responsible use. But finding, understanding, and comparing these policies is fragmented and time-consuming.
The Trinka AI Policy Repository brings together AI governance policies from top US universities into a single, searchable hub, built for students, faculty, researchers, and administrators who need factual, clear, and reliable information about how their institution governs AI use in coursework, research, academic integrity, and institutional operations.
Explore AI governance policies from 100+ top US research universities, covering coursework, research ethics, data protection, and more.
Shows how many of the 12 AI policy categories a university has formally defined. 100% means all 12 categories are addressed. Color indicates completeness: green (75%+), amber (50%+), orange (25%+), gray (below 25%).
Indicates the university's position on AI tool usage in coursework and assignments, based on their published policy for category U1.
Shows whether the university requires students to disclose and cite AI usage in academic submissions, based on category U8.
Indicates whether the university uses AI detection tools (e.g., Turnitin) or manual review to identify unauthorized AI use, based on category U9.
Public universities are state-funded institutions. Private universities are independently funded. Use the filter chips above to view only public or private universities.
Each university is evaluated across 12 AI policy categories spanning 4 domains: Teaching & Learning (U1-U4), Research (U5-U7), Academic Integrity (U8-U9), and Institutional & Administrative (U10-U12). Click "View AI Policy" on any university to see the full breakdown.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai