University of Notre Dame has defined AI policies across 3 of 12 policy categories, covering Institutional & Administrative. The university has not established a formal policy on AI use in coursework and assignments. There are no specific AI disclosure requirements currently defined. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Objective: In order to meet the technology needs at Notre Dame and align them with each other and the overall University strategy, the Security, Risk, and Compliance Committee ensures alignment of IT security policy and practice with the University’s mission. The Committee’s work includes risk prioritization, developing policy and standards, communicating policy and taking input from the community, and building support for activities that address cyber risk.
Objective: In order to meet the technology needs at Notre Dame and align them with each other and the overall University strategy, the Security, Risk, and Compliance Committee ensures alignment of IT security policy and practice with the University’s mission. The Committee’s work includes risk prioritization, developing policy and standards, communicating policy and taking input from the community, and building support for activities that address cyber risk.
Objective: In order to meet the technology needs at Notre Dame and align them with each other and the overall University strategy, the Security, Risk, and Compliance Committee ensures alignment of IT security policy and practice with the University’s mission. The Committee’s work includes risk prioritization, developing policy and standards, communicating policy and taking input from the community, and building support for activities that address cyber risk.
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University of Notre Dame has defined AI policies in 3 of 12 categories, with an overall coverage score of 25%.
No explicit disclosure requirement is currently defined in the available policy sources.
No explicit detection or enforcement process is currently defined in the available policy sources.
The university describes an institutional IT committee (Security, Risk, and Compliance Committee) that develops and communicates IT security policy and standards, but this accessible source does not contain AI-tool-specific data handling rules, data classification tiers, or an approved/prohibited AI tools list. The provided ND AI policy/tool pages could not be accessed to extract exact AI platform and data protection requirements.
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