Policy presence
Columbia University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
New York City, United States
Columbia University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Columbia University has 4 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Columbia University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Columbia University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Columbia University has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Columbia University has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Columbia University has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Columbia University has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Columbia University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Columbia University has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.
Columbia University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
16 reviewed evidence-backed public claim
Academic Integrity
Original evidence
Evidence 1Use of Generative AI is prohibited in (a) any exam or final paper or (b) for aid in drafting any part of work submitted for credit, even if the use is fully documented.
Ai Tool Treatment
Original evidence
Evidence 1Columbia University provides access to HIPAA-compliant versions of OpenAI's ChatGPT and Microsoft Copilot, enabling our workforce to leverage these AI tools responsibly and compliantly.
Privacy
Original evidence
Evidence 1Sensitive Data: Permitted only on the ChatGPT Education, approved Microsoft CoPilot platforms, and CU CHAT when used with compliant models. Research protocol use requires IRB, and TRAC/ACORD approval.
Source Status
Original evidence
Evidence 1This Generative AI policy ('Policy') governs the use of Generative AI tools by staff, faculty, students, and researchers (the 'Columbia community') in the performance of their functions for or on behalf of Columbia. There are risks related to information security, data privacy, copyright, and academic integrity and bias, for example.
Academic Integrity
Original evidence
Evidence 1students must disclose to faculty if they are using generative AI platforms and in what manner they are using them in coursework.
Research
Original evidence
Evidence 1Researchers must avoid uploading, or using as input, any unpublished research data or other Confidential Information into a Generative AI tool.
Source Status
Original evidence
Evidence 1Learn more about Columbia’s AI policies and guidelines using the below resources from the Center for Teaching and Learning, the Office of the Provost, and CUIT. Columbia’s AI Policy & Guidelines. Read the Generative AI Policy developed for the Columbia community by the Office of the Provost. Academic Integrity & AI. Technical Support & CUIT Resources. Best Practices for Responsible AI Use at Columbia.
Teaching
Original evidence
Evidence 1Individual instructors can, and indeed are encouraged to, tailor their own more permissive policies, so long as their policies are stated in writing in the syllabus.
Ai Tool Treatment
Original evidence
Evidence 1Students may use Generative AI to aid in studying, brainstorming, or to identify typographical errors.
Privacy
Original evidence
Evidence 1All uses of Generative AI must comply with University policy protecting confidential and personal information. By default, all text you enter into Generative AI tools is retained, used for training, and potentially outputted to other users.
Ai Tool Treatment
Original evidence
Evidence 1At this time (March 2026), the following AI Chat services offered through CUIT are not approved for use with Sensitive data: Google Gemini, NotebookLM, Anthropic Claude.
Security Review
Original evidence
Evidence 1For locally installed AI models (i.e. LLM, NLP, ML), a formal IT Risk Assessment review is required before deployment to evaluate potential security, privacy, and compliance risks.
Teaching
Original evidence
Evidence 1Example 1: No Generative AI Use Permitted. Students are prohibited from using generative Artificial Intelligence (AI) tools to complete coursework or assignments for this class.
Teaching
Original evidence
Evidence 1Example 5: Generative AI tools are generally permitted in this course for research and completion of assignments, provided that all AI-generated content is clearly attributed as such in the student's work.
Source Status
Original evidence
Evidence 1Columbia University Information Technology has released University-wide best practices for responsible AI use. The guidance applies to faculty, students, researchers, and staff, and reinforces that while AI can support productivity and discovery, accountability remains with the human using the tool.
Teaching
Original evidence
Evidence 1Students with disabilities are eligible for reasonable accommodations to permit them equal access to Teachers College programs and services (which include classes and coursework). If you are a student registered with OASID with a generative AI accommodation, please speak with me directly about your needs.
0 machine or needs-review claim
8 source attribution
it.cuimc.columbia.edu
etc.cuit.columbia.edu
law.columbia.edu
ai.ctl.columbia.edu
provost.columbia.edu
provost.columbia.edu
students.business.columbia.edu
tc.columbia.edu