CUNY City College of New York has defined AI policies across 7 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. At the institutional level, the university has established guidelines for faculty and staff AI use, AI governance strategy.
It is a violation of this policy to intentionally offer or give assistance to another student where one knows that the assistance might be used in any academic work and that such assistance is not authorized by the instructor or college.
It is a violation of this policy for a student to claim work as his/her own, completed independently, which was, in fact, done, in whole or significant part, by another.
Faculty are encouraged to discuss AI and ChatGPT and usage with students and include references in the class syllabus, statements and classroom discussions.
Cheating is misrepresenting another student's work as one's own. Cheating also includes submitting substantial portions of the same work in more than one course without prior permission of the instructor, or dishonestly obtaining, using, or disseminating exam questions prior to an examination; any unauthorized use of notes, study aids, technology, and communication devices during examinations; obtaining assistance from another person during an examination; collaborating on homework or projects where collaboration is prohibited; submitting papers purchased from research companies as one's own work; selling or purchasing assignments, papers, or exam questions or other academic work; and submitting fraudulent academic records as one's own.
Faculty are encouraged to discuss AI and ChatGPT and usage with students and include references in the class syllabus, statements and classroom discussions.
Faculty are encouraged to discuss AI and ChatGPT and usage with students and include references in the class syllabus, statements and classroom discussions.
Students who violate the CUNY Policy on Academic Integrity are subject to academic sanctions, such as failing or otherwise reduced grades, and/or disciplinary sanctions, including suspension or expulsion.
Each college’s student disciplinary process shall determine whether a violation of the CUNY Policy on Academic Integrity has occurred and, if so, what sanction(s) are appropriate.
Faculty are encouraged to discuss AI and ChatGPT and usage with students and include references in the class syllabus, statements and classroom discussions.
Most colleges and schools are now developing recommendations and modifications to their current practices to adapt to the use of AI in learning and teaching.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
CUNY City College of New York has defined AI policies in 7 of 12 categories, with an overall coverage score of 58%.
The sources do not provide a university-wide requirement for students to cite or disclose AI use in submitted work. Instead, faculty are encouraged to set expectations in syllabi and class discussions.
Enforcement for unauthorized AI-related misconduct falls under the university's academic integrity process, with penalties ranging from failing grades to suspension or expulsion. The provided sources do not state a position on AI detection tools specifically.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.
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