Policy presence
University of Rochester has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Rochester, United States
University of Rochester has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Rochester has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of Rochester has 1 source-backed public claim for coursework; deterministic analysis status: restricted.
University of Rochester has 2 source-backed public claims for exams; deterministic analysis status: restricted.
University of Rochester has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Rochester has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
University of Rochester has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
University of Rochester has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
University of Rochester has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of Rochester has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
University of Rochester has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Privacy
Normalized value: external_ai_tools_sensitive_data_restricted
Original evidence
Evidence 1non-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.
Teaching
Normalized value: provost_guidance_course_genai_policies
Original evidence
Evidence 1Instructors 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.
Research
Normalized value: research_genai_data_protection_verification_transparency
Original evidence
Evidence 1As a general guide, only data classified as low risk by the University Data Security Classification Policy should be considered suitable for entry to GenAI.
Original evidence
Evidence 2Three key duties of data protection, verification, and transparency frame appropriate use of GenAI in research.
Academic Integrity
Normalized value: sas_hajim_instructor_disallowed_ai_material_plagiarism_example
Original evidence
Evidence 1Usage of material generated by AI tools (Grammarly, ChatGPT, DALL-E, translation software, or similar) that is not allowed by the instructor.
0 machine or needs-review claim
4 source attribution
rochester.edu
rochester.edu
rochester.edu
rochester.edu