Columbia University has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
* Absent a clear statement from a course instructor granting permission, the use of Generative AI tools to complete an assignment or exam is prohibited. The unauthorized use of AI shall be treated similarly to unauthorized assistance and/or plagiarism (page 11 of Standards and Discipline).
The use of generative Artificial Intelligence (AI) tools to complete an assignment or exam is prohibited unless students have a written statement from the course instructor granting permission. Unauthorized use of AI shall be treated similarly to unauthorized assistance and/or plagiarism and is subject to Dean’s Discipline.
CBS faculty acknowledge the availability of generative AI tools as well as their potential benefits and drawbacks. The faculty will indicate in course syllabi and in expectations for individual assignments whether the use of generative AI such as ChatGPT is permitted in their course(s).
* Absent a clear statement from a course instructor granting permission, the use of Generative AI tools to complete an assignment or exam is prohibited. The unauthorized use of AI shall be treated similarly to unauthorized assistance and/or plagiarism (page 11 of Standards and Discipline).
The use of generative Artificial Intelligence (AI) tools to complete an assignment or exam is prohibited unless students have a written statement from the course instructor granting permission. Unauthorized use of AI shall be treated similarly to unauthorized assistance and/or plagiarism and is subject to Dean’s Discipline.
Some uses of Generative AI are allowed, unless prohibited by your instructor. For example, you may use a tool like ChatGPT to help prepare an exam outline or to summarize arguments regarding a legal controversy. Also, you may use Generative AI to brainstorm ideas or a bibliography for a paper, or to help identify typographical errors (but not to write, edit, revise, or translate your text).
Note: you have an affirmative duty to ask your instructor for clarification if you have any doubt about whether your intended use of Generative AI is permitted.
* Absent a clear statement from a course instructor granting permission, the use of Generative AI tools to complete an assignment or exam is prohibited. The unauthorized use of AI shall be treated similarly to unauthorized assistance and/or plagiarism (page 11 of Standards and Discipline).
“Generative AI” includes any machine-based tool designed to consider user questions, prompts, and other inputs (e.g., text, images, videos) to generate a human-like output (e.g., a response to a question, a written document, software code, or a product design). Generative AI includes both standalone offerings such as ChatGPT, Gemini, NotebookLM, and offerings that are embedded in other software, such as Github’s Copilot.
* As with other tools and research methods, individuals who use Generative AI in research must be transparent regarding its use, in describing methods, acknowledgements, or elsewhere, as appropriate.
* Researchers are responsible for the accuracy of any content created by AI that is included in any research output and must use caution in utilizing AI output in research.
* Researchers are expected to follow the policies of journals, funding agencies and professional societies through which they report their research. For example, some journals, such as Science, explicitly prohibit text, figures, images or graphics generated by ChatGPT or any other AI tools.
* Researchers must avoid uploading, or using as input, any unpublished research data or other Confidential Information into a Generative AI tool.
* This also includes the Personal Information of research subjects. For example, inputting interview data to perform preliminary analysis creates the possibility that quotations or other information from research subjects could become public, and potentially, that subjects could also be identified.
Whether you’re using AI to help draft interview guides, transcribe data, analyze qualitative responses, or generate survey content, TC IRB requires researchers to proactively assess and disclose AI use in human subjects research.
* As with other tools and research methods, individuals who use Generative AI in research must be transparent regarding its use, in describing methods, acknowledgements, or elsewhere, as appropriate.
* Researchers are responsible for the accuracy of any content created by AI that is included in any research output and must use caution in utilizing AI output in research.
Whether you’re using AI to help draft interview guides, transcribe data, analyze qualitative responses, or generate survey content, TC IRB requires researchers to proactively assess and disclose AI use in human subjects research.
NIH prohibits NIH scientific peer reviewers from using natural language processors, large language models, or other generative Artificial Intelligence (AI) technologies for analyzing and formulating peer review critiques for grant applications and R&D contract proposals.
* Disclose the use of Generative AI tools: Columbia community members who leverage Generative AI to produce any written materials or other work product must disclose that those materials and that work product is based on or derives from the use of Generative AI. Always be transparent if you are relying on the output of a Generative AI tool.
If permitted by the course, encourage students to acknowledge and cite any use of AI applications.
As a general rule, students should disclose to faculty if they are using generative AI platforms and in what manner they are using them in coursework.
If faculty permit generative AI in their course, students will be instructed how to use and properly cite such tools in their work. Citation information will include what platforms students are using and how they are using them. Failure to properly and completely cite AI-generated responses may be reported as a violation of the CBS Honor Code.
Important note about AI detection tools: Since the introduction of AI tools, there has been a parallel rise in tools claiming accurate detection of AI-generated work. As with any form of detection software, there are risks of misidentification, which can have consequences in the classroom. These products are best used with careful consideration and as one of many ways to work with students.
As with other plagiarism detection tools, AI detection should be treated as a guideline and not a grading metric.
The unauthorized use of AI shall be treated similarly to unauthorized assistance and/or plagiarism (page 11 of Standards and Discipline).
The use of generative AI without faculty permission will be considered a violation of the CBS Honor Code. Suspected violations of this nature will be reported to Student Conduct in the Center for Student Success and Intervention (CSSI).
* Disclose the use of Generative AI tools: Columbia community members who leverage Generative AI to produce any written materials or other work product must disclose that those materials and that work product is based on or derives from the use of Generative AI. Always be transparent if you are relying on the output of a Generative AI tool.
At minimum, it is recommended that faculty share clear expectations at the beginning of each semester through the syllabus, policy distribution, and class discussion on the appropriate use of AI tools.
It is recommended to develop a course policy about the use of AI tools and what faculty consider to be appropriate and inappropriate in their classes.
* Researchers must avoid uploading, or using as input, any unpublished research data or other Confidential Information into a Generative AI tool.
When a researcher inputs unpublished work of any kind into a Generative AI tool, the unpublished work becomes part of the universe of data in the AI.
Sensitive Data
Permitted only on the ChatGPT Education and approved Microsoft CoPilot* platforms. Research protocol use requires IRB, and TRAC/ACORD approval.
Please be aware that the above statements refer only to Columbia University approved generative AI tools such as the Columbia University Enterprise version of ChatGPT and not to any openly available ChatGPT or LLM. Per the Columbia University Policy on Generative AI, you are not permitted to use any other available generative AI tool with PHI, sensitive or proprietary data.
Please note that this policy is a “work in progress” as the technology, the law and the Columbia community usage evolves.
The Office of the Provost has convened a working group of faculty and senior administrators from various parts of the University to develop policies and guidelines around the responsible use of these Generative AI tools (the “AI Team”).
Based on our collective experience with Generative AI use at the University, we anticipate that this guidance will evolve and be updated regularly.
Reviews of AI-related requests are based on the use case and nature of the request.
Requests should be submitted through the existing IRB process(es) and will be routed to the CUIMC AIGC for review as appropriate.
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.
Columbia University has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
The university policy requires disclosure when generative AI is used to produce written materials or other work product and instructs community members to be transparent when relying on AI output. In instruction-focused guidance, faculty are encouraged (where permitted by the course) to have students acknowledge and cite AI use. Some school-level policy (CBS) states students should disclose AI use and, when AI is permitted, requires proper citation including platforms and how they are used; failure to cite completely may be reported as an honor code violation.
University guidance cautions that AI detection tools carry risks of misidentification and should be used carefully; it states AI detection should be treated as a guideline and not a grading metric. University guidance and school-level policy also state that unauthorized AI use for assignments/exams is treated like unauthorized assistance/plagiarism and may be considered an honor code violation subject to disciplinary processes.
University research guidance prohibits uploading unpublished research data or other confidential information into generative AI tools, and warns that inputs may become part of an AI’s data universe and risk privacy/IP. CUIMC guidance specifies approved AI tools and indicates that sensitive data (including PHI) is permitted only on designated platforms, with additional approval requirements for research protocol use. CUIT attestation language states that only Columbia University approved generative AI tools may be used with PHI, sensitive, or proprietary data, and prohibits using other available generative AI tools with such data.
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