Princeton, United States

Princeton University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage8 reviewedEvidence-backed claims8Reviewed8Candidate0Official sources8Source languageenPublic JSON/api/public/v1/universities/princeton-university.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence82%

Policy presence

Princeton University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence82%Evidence3Sources3

AI disclosure

Princeton University has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence83%Evidence2Sources1

Coursework

Princeton University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence5Sources4

Exams

Princeton University has 5 source-backed public claims for exams; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence5Sources4

Privacy and data entry

Princeton University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence82%Evidence4Sources4

Academic integrity

Princeton University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence83%Evidence2Sources1

Approved tools

Princeton University has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence82%Evidence2Sources2

Named AI services

Princeton University has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.

BlockedMachine candidateConfidence82%Evidence3Sources3

Teaching guidance

Princeton University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence82%Evidence5Sources4

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

Princeton University has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.

AllowedMachine candidateConfidence81%Evidence1Sources1

AI tools

Derived tool records1

Microsoft Copilot

Princeton University

Tool
Microsoft Copilot
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

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 reviewedConfidence98%

Original evidence

Evidence 1
University 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 reviewedConfidence97%

Original evidence

Evidence 1
As 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 reviewedConfidence97%

Original evidence

Evidence 1
Students 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 reviewedConfidence97%

Original evidence

Evidence 1
First 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 reviewedConfidence96%

Original evidence

Evidence 1
Faculty 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 reviewedConfidence96%

Original evidence

Evidence 1
Though 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 reviewedConfidence95%

Original evidence

Evidence 1
Copilot 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 reviewedConfidence95%

Original evidence

Evidence 1
Don'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

Official sources

8 source attribution

Change log

Last checkedMay 10, 2026Last changedMay 10, 2026Open change log

Corrections

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