University AI Policy Tracker
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Rochester, United States

University of Rochester

RankingQS World University Rankings 2026: 236UpdatedMay 15, 2026

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Reviewed record

Reviewed claims

4 reviewed claims

Privacy

University of Rochester Provost guidance says non-public or sensitive University information should not be uploaded into external AI tools unless there is a university agreement with the vendor approved by an AI governance group.

Review: Agent reviewedConfidence92%

Normalized value: external_ai_tools_sensitive_data_restricted

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
non-public or sensitive University information should never be uploaded into external AI tools--whether free or paid--unless there is a university agreement with the vendor approved by one of the various AI governance groups.
Source language
English (en-US)
Snapshot hash
c0946d9a…
Retrieved
May 15, 2026
Evidence locator
Provost message body

Teaching

University of Rochester Provost guidance says instructors should create written course GenAI policies stating when students must, may, or cannot use GenAI and how use should be verified, disclosed, documented, and attributed.

Review: Agent reviewedConfidence91%

Normalized value: provost_guidance_course_genai_policies

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Instructors should create and communicate student GenAI course policies. For each assignment, the policy should state when students must, may, or cannot use GenAI and how they should verify, disclose, document, and attribute any GenAI use.
Source language
English (en-US)
Snapshot hash
d3485af0…
Retrieved
May 15, 2026
Evidence locator
Guidelines for instructors - Develop Clear Course GenAI Policies

Research

University of Rochester research guidance frames responsible GenAI use in research around data protection, verification, and transparency, including only considering low-risk data generally suitable for GenAI and using appropriate internal review for medium- or high-risk data.

Review: Agent reviewedConfidence90%

Normalized value: research_genai_data_protection_verification_transparency

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
As a general guide, only data classified as low risk by the University Data Security Classification Policy should be considered suitable for entry to GenAI.
Source language
English (en-US)
Snapshot hash
4fd22b72…
Retrieved
May 15, 2026
Evidence locator
Principle #1: Protect data and information

Original evidence

Evidence 2
Three key duties of data protection, verification, and transparency frame appropriate use of GenAI in research.
Source language
English (en-US)
Snapshot hash
4fd22b72…
Retrieved
May 15, 2026
Evidence locator
Responsible use principles

Academic Integrity

The SAS/Hajim Academic Honesty Policy lists use of AI-generated material not allowed by the instructor as an example of plagiarism under that school-scoped policy.

Review: Agent reviewedConfidence88%

Normalized value: sas_hajim_instructor_disallowed_ai_material_plagiarism_example

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Usage of material generated by AI tools (Grammarly, ChatGPT, DALL-E, translation software, or similar) that is not allowed by the instructor.
Source language
English (en-US)
Snapshot hash
0831f8e5…
Retrieved
May 15, 2026
Evidence locator
V.B.3 Plagiarism

Source record

Official sources

4 sources

Record information, JSON & citation
Reviewagent reviewedConfidence92%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "University of Rochester AI Policy Tracker record." Last checked May 15, 2026. https://eduaipolicy.org/universities/university-of-rochester

Original university source language remains canonical. This tracker is not an official university statement.

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