Policy presence
Columbia University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
New York City, United States
Columbia University
Columbia University has 16 source-backed AI policy claims from 8 official source attributions. Review state: agent reviewed; 16 reviewed claims. Last checked May 10, 2026.
Columbia University AI policy short answer
v1 public contract
Columbia University has 16 source-backed AI policy claims from 8 official source attributions, including 16 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 10, 2026. Discovery context: Columbia University is listed as QS 2026 rank =38.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Columbia University as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 17, 2026. The record contains 16 source-backed claims, including 16 reviewed claims, from 8 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/columbia.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- Evidence includes Security review claims.
- Named AI services detected in public claims: ChatGPT, Microsoft Copilot, Claude, Gemini.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Columbia University has 4 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Columbia University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Columbia University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Columbia University has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Columbia University has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Columbia University has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Columbia University has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Columbia University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Columbia University has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Columbia University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
16 reviewed evidence-backed public claim
Academic Integrity
Columbia Law School prohibits generative AI use in exams, final papers, and for drafting any part of work submitted for credit, even if fully documented.
Review: Agent reviewed
Bukti asal
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
CUIMC provides HIPAA-compliant versions of ChatGPT Education and Microsoft Copilot as approved AI chatbot tools; workforce members must use CUIMC-issued accounts for compliance.
Review: Agent reviewed
Bukti asal
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
CUIMC restricts sensitive data (PHI, RHI, PII) use with AI to HIPAA-compliant platforms only (ChatGPT Education, approved Microsoft Copilot, CHAT with compliant models); research use requires IRB approval.
Review: Agent reviewed
Bukti asal
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
Columbia University has a university-wide Generative AI Policy from the Office of the Provost governing use by staff, faculty, students, and researchers, covering information security, data privacy, copyright, academic integrity, and bias.
Review: Agent reviewed
Bukti asal
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
Columbia Business School requires students to disclose to faculty their use of generative AI platforms and the manner of use in coursework.
Review: Agent reviewed
Bukti asal
Evidence 1students must disclose to faculty if they are using generative AI platforms and in what manner they are using them in coursework.
Research
Columbia University requires researchers to avoid uploading unpublished research data or confidential information into generative AI tools.
Review: Agent reviewed
Bukti asal
Evidence 1Researchers must avoid uploading, or using as input, any unpublished research data or other Confidential Information into a Generative AI tool.
Source Status
Columbia's Center for Teaching and Learning maintains a central AI Guidelines hub linking to the Provost's policy, academic integrity resources, CUIT resources, and best practices for responsible AI use.
Review: Agent reviewed
Bukti asal
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
Columbia Law School's default AI prohibition can be overridden by individual instructors who set more permissive policies in writing in their syllabus.
Review: Agent reviewed
Bukti asal
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
Columbia Law School permits students to use generative AI for studying, brainstorming, and identifying typographical errors, but not for writing, editing, revising, or translating text.
Review: Agent reviewed
Bukti asal
Evidence 1Students may use Generative AI to aid in studying, brainstorming, or to identify typographical errors.
Privacy
Columbia Law School requires all generative AI use to comply with university data protection policy; confidential or personal information must not be shared with AI tools unless retention and training use is disabled.
Review: Agent reviewed
Bukti asal
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
As of March 2026, Google Gemini, NotebookLM, and Anthropic Claude are not approved for use with sensitive data at CUIMC; they may only be used with non-sensitive, non-confidential data.
Review: Agent reviewed
Bukti asal
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
CUIMC requires a formal IT Risk Assessment review before deploying any locally installed AI models (LLM, NLP, ML) to evaluate security, privacy, and compliance risks.
Review: Agent reviewed
Bukti asal
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
Teachers College provides five example syllabus statements ranging from no AI use permitted to generally permitted with attribution, allowing instructors to choose their stance.
Review: Agent reviewed
Bukti asal
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
Teachers College example syllabus statements require citations or disclosure detailing specific AI tools and models used when AI use is permitted.
Review: Agent reviewed
Bukti asal
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
Columbia University Information Technology (CUIT) publishes university-wide best practices for responsible AI use applicable to faculty, students, researchers, and staff.
Review: Agent reviewed
Bukti asal
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
All Teachers College example syllabus statements include provisions for students with disabilities who have AI-related accommodations through OASID.
Review: Agent reviewed
Bukti asal
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.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
8 source attribution
AI and Generative Technology Use at CUIMC
it.cuimc.columbia.edu
Best Practices for Responsible AI Use at Columbia - CUIT
etc.cuit.columbia.edu
Columbia Law School Interim Policy on Generative AI
law.columbia.edu
Columbia University AI Guidelines
ai.ctl.columbia.edu
Generative AI - Office of the Provost - Columbia University
provost.columbia.edu
Generative AI Policy - Office of the Provost - Columbia University
provost.columbia.edu
Generative AI Policy | Students - Columbia Business School
students.business.columbia.edu
TC Guidance | Digital Futures Institute (DFI)
tc.columbia.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.