Cooper Union 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 AI governance strategy.
• You present as your own work product a homework assignment, a take-home exam or a class project that includes the efforts of other individuals. The contributions of other individuals (if permitted by your instructor) must be acknowledged in writing on the submitted assignment, exam or project.
• You submit as part of a homework assignment, take-home exam or class project material that has been copied from any source (including, but not limited to, a reference book, periodical, the Internet, a generative AI) without properly citing the source, and/or without using quotation marks. It is also prohibited to submit such materials in a minimally altered form without proper attribution. Improperly copied material might include text, graphics (computer or otherwise), computer source code, etc.
• Using a generative AI (e.g. ChatGPT) when not explicitly authorized by the instructor.
The use of AI is becoming more common, but it should strictly serve as a tool for creative brainstorming, idea refinement, or resume building—not as a direct representation of your work. Using AI-generated content without modification is considered plagiarism. This includes, but is not limited to, AI-generated drawings, statements, essays, or responses to prompts.
While gaining inspiration from AI and other sources can be helpful, presenting anyone else's work, including that of AI, as your own is unacceptable. The work you present must be a reflection of your thoughts and efforts.
• You copy the work of other students on an in-class examination or communicate with other individuals in any fashion during an exam.
• Bringing any device into an examination (computer/ smartphone/ calculator), which permits the retrieval of examination-related materials unless expressly permitted by the instructor.
• Bringing any device into an examination that allows communication with other individuals or computers or computer databases unless expressly permitted by the instructor.
• Using a generative AI (e.g. ChatGPT) when not explicitly authorized by the instructor.
There was no New Business. Representatives inquired about how to handle using AI on studio
and home tests.
The use of AI is becoming more common, but it should strictly serve as a tool for creative brainstorming, idea refinement, or resume building—not as a direct representation of your work.
Ms. Norberg reviewed curriculum design efforts to help students ethically and effectively use AI.
She noted ongoing collaboration with deans to develop student workshops (in-person and online)
and to integrate information literacy into each school’s curriculum.
Plagiarism is the presentation of another person’s “work product” (ideas, words, equations, computer code, graphics, lab data, etc.) as one’s own.
• You submit as part of a homework assignment, take-home exam or class project material that has been copied from any source (including, but not limited to, a reference book, periodical, the Internet, a generative AI) without properly citing the source, and/or without using quotation marks. It is also prohibited to submit such materials in a minimally altered form without proper attribution. Improperly copied material might include text, graphics (computer or otherwise), computer source code, etc.
• Using a generative AI (e.g. ChatGPT) when not explicitly authorized by the instructor.
The contributions of other individuals (if permitted by your instructor) must be acknowledged in writing on the submitted assignment, exam or project.
• You submit as part of a homework assignment, take-home exam or class project material that has been copied from any source (including, but not limited to, a reference book, periodical, the Internet, a generative AI) without properly citing the source, and/or without using quotation marks. It is also prohibited to submit such materials in a minimally altered form without proper attribution. Improperly copied material might include text, graphics (computer or otherwise), computer source code, etc.
The work you present must be a reflection of your thoughts and efforts.
Faculty members may not unilaterally resolve incidents of academic dishonesty. Each faculty member is required to report all cases of plagiarism or academic dishonesty to the engineering dean’s office in a memorandum. If documentary evidence of the incident exists, it should be attached.
The dean’s office, in consultation with the faculty member and the student, will select from the following sanctions: a grade of F for the assignment, a grade of F for the course or dismissal of the student from the school. A record of all incidents will be kept in the dean’s office and considered for second-time offenders.
Students who are dismissed because of academic dishonesty should be aware that incident reports and any responsive actions by the dean’s office or Academic Standards Committee become part of their permanent record.
The Academic Standards Committee of The Irwin S. Chanin School of Architecture will review acts of academic dishonesty, including cheating, plagiarizing, or the submission of work that has not been prepared by the person claiming authorship. Such acts are punishable by probation, suspension, or dismissal.
The action of the Academic Standards Committee in such cases will become part of the student’s permanent academic record.
AI Advisory Council: Mokena Makeka, Special advisor to the Vice President of Academic Affairs, is forming The
Cooper Union AI Advisory Council, a non-fiduciary and voluntary transdisciplinary network of leaders working in AI.
The network is a body of esteemed practitioners working on the innovation end of (generative) AI. The body
highlights recommendations and insights, primarily enhancing accountability toward making an equitable and
better world.
presented the work of the Cooper Union Library on Information Literacy in a Time of
Generative AI.
Ms. Norberg reviewed curriculum design efforts to help students ethically and effectively use AI.
She noted ongoing collaboration with deans to develop student workshops (in-person and online)
and to integrate information literacy into each school’s curriculum.
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.
Cooper Union has defined AI policies in 7 of 12 categories, with an overall coverage score of 58%.
In the School of Engineering, disclosure and attribution are required when submitted work includes others' contributions or material copied from a generative AI. Such contributions must be acknowledged in writing, and AI-derived material must be properly cited and quoted when applicable. Admissions guidance also requires applicants to ensure submitted work reflects their own thoughts and efforts rather than unmodified AI output.
The School of Engineering requires faculty to report all plagiarism or academic dishonesty cases to the dean's office, where sanctions may include an F on the assignment, an F in the course, or dismissal, and records are maintained for repeat offenses. The School of Architecture states that its Academic Standards Committee reviews dishonesty, including submission of work not prepared by the claimed author, with penalties up to dismissal. No policy on AI detection software is defined in the provided sources.
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