Policy presence
Princeton University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Princeton, United States
Princeton University
Princeton University is listed as QS 2026 rank =25. Princeton University has 8 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Princeton University is listed as QS 2026 rank =25. Princeton University has 8 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
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
Princeton University has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Princeton University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Princeton University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Princeton University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
Princeton University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Princeton University has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.
Named AI services
Princeton University has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Princeton University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
Princeton University has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
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
8 reviewed evidence-backed public claim
Privacy
Princeton University requires that only University-licensed generative AI tools should be used with University Information classified as Internal or Confidential, and the use of publicly available generative AI tools in conjunction with such Princeton Information is not permitted by the University.
Review: Agent reviewed
Original evidence
Evidence 1University Information classified as Internal or Confidential under the University's Information Security Policy. The use of publicly available generative AI tools in conjunction with such Princeton Information is not permitted by the University.
Academic Integrity
Princeton University requires students to disclose the use of generative AI when permitted by the instructor, rather than cite or acknowledge the use, since generative AI is an algorithm rather than a source (Rights, Rules, Responsibilities section 2.4.7).
Review: Agent reviewed
Original evidence
Evidence 1As defined in section 2.4.7 , generative artificial intelligence (AI) is not a source, since its output is not produced by a person. If generative AI is permitted by the instructor (for brainstorming, outlining, etc.), students must disclose its use rather than cite or acknowledge the use, since it is an algorithm rather than a source. All the tenets of scholarly integrity apply to use of generative AI: students must not pass off any output by generative AI as their own, and so a failure of disclosure, even in a course where generative AI is permitted, is a scholarly integrity violation.
Academic Integrity
Princeton University states that inappropriate uses of generative AI on any work submitted to fulfill an academic requirement, including directly copying the output, representing output as the student's own, exceeding instructor parameters, or failing to disclose its use, would constitute violations of academic integrity (Rights, Rules, Responsibilities section 2.4.6).
Review: Agent reviewed
Original evidence
Evidence 1Students are responsible for familiarizing themselves with and adhering to course and departmental policies regarding the use of generative AI. Inappropriate uses of the results of generative AI on any work submitted to fulfill an academic requirement, such as directly copying the output, representing output generated by or derived from generative AI as their own, exceeding the parameters specified by the instructor, or failing to disclose its use, would constitute violations of academic integrity.
Teaching
Princeton University states that the decision to allow, limit, or prohibit generative AI in a course or in undergraduate independent work remains with the faculty; faculty members have the discretion to set their own generative AI policy for their courses.
Review: Agent reviewed
Original evidence
Evidence 1First and foremost, the decision to allow, limit, or prohibit generative AI in a course or in undergraduate independent work will remain our faculty's. Faculty members have the discretion to set their own generative AI policy for their courses.
Teaching
Princeton University requires faculty to set clear expectations for whether, when, and how generative AI can be used and state those expectations in the course syllabus.
Review: Agent reviewed
Original evidence
Evidence 1Faculty must set clear expectations for whether, when, and how generative AI can be used and state those expectations in the course syllabus. Work created with the assistance of AI tools should never be a proxy for original work.
Teaching
Princeton University's McGraw Center for Teaching and Learning recommends that faculty do not use AI detection software to determine if student work is AI-generated, stating that detection tools are unreliable and biased.
Review: Agent reviewed
Original evidence
Evidence 1Though companies like Turnitin, ZeroGPT, and OpenAI have all developed AI detection capabilities, we do not recommend you use such software to attempt to determine if student work is AI-generated. Our recommendation against using these tools is based both on Princeton's standards for scholarly integrity and the practical limits of these tools. Detection tools seem unreliable at best and biased at worst.
Ai Tool Treatment
Princeton University's Office of Information Technology states that Microsoft Copilot is currently the only generative AI tool made available by OIT, and that when logged in with a Princeton University account, Copilot provides Enterprise Data Protection where prompts and responses are not used to train the underlying large language models and chat data is encrypted.
Review: Agent reviewed
Original evidence
Evidence 1Copilot is currently the only generative AI tool made available by the Office of Information Technology (OIT). When you are logged in to Copilot with your Princeton University account, you are using Copilot with Enterprise Data Protection which better protects information.
Privacy
Princeton University's OIT guidance states that non-public Princeton data should not be used in public generative AI tools, and that University Information classified as Restricted must not be used with any AI tool.
Review: Agent reviewed
Original evidence
Evidence 1Don't use non-public Princeton data in public Gen AI tools. University Information classified as Restricted must not be used with any AI tool.
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
Course Procedures & Policies
odoc.princeton.edu
Disclosing Generative AI
scholarlyintegrity.princeton.edu
Generative AI and Our Classrooms
mcgraw.princeton.edu
Generative AI at Princeton
oit.princeton.edu
Generative AI in Teaching and Learning Fall 2023, Faculty and Student Memo
odoc.princeton.edu
Generative AI Tools Use Policy
oit.princeton.edu
Guidance on AI/ChatGPT
mcgraw.princeton.edu
Microsoft Copilot at Princeton University
oit.princeton.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.