Policy presence
City University of New York has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
New York City, United States
City University of New York
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
City University of New York has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
City University of New York has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
City University of New York has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
City University of New York has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
City University of New York has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
City University of New York has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
City University of New York has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
City University of New York has 2 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
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
AI tools
Evidence-backed claims
5 reviewed evidence-backed public claim
Ai Tool Treatment
CUNY's Academic Integrity Policy says use of generative AI tools must align with the usage policy for specific assignments as defined in the syllabus or communicated by the instructor.
Review: Agent reviewed
Normalized value: Generative AI use is assignment- and instructor-policy dependent.
Original evidence
Evidence 1Any use of generative AI tools must be in line with the usage policy for specific assignments as defined in the course of the syllabus and/or communicated by the course instructor.
Academic Integrity
CUNY's Academic Integrity Policy treats unauthorized use or attempted use of artificial intelligence systems during an academic exercise as cheating.
Review: Agent reviewed
Normalized value: Unauthorized AI-system use during an academic exercise is included in cheating.
Original evidence
Evidence 1Cheating is the unauthorized use or attempted use of material, information, notes, study aids, devices, artificial intelligence (AI) systems, or communication during an academic exercise.
Academic Integrity
CUNY's Academic Integrity Policy includes unauthorized use of AI-generated content, including paraphrased AI-generated content without citing AI as the source, as an example of plagiarism.
Review: Agent reviewed
Normalized value: Unauthorized or uncited AI-generated content may be plagiarism under the CUNY policy examples.
Original evidence
Evidence 1Unauthorized use of AI-generated content; or use of AI-generated content, whether in whole or in part, even when paraphrased, without citing the AI as the source.
Privacy
CUNY's AI Academic Hub lists Privacy & Data Protection, including FERPA compliance, among its guiding AI principles and advises avoiding sensitive or identifiable data when working with AI tools.
Review: Agent reviewed
Normalized value: AI use should protect data and avoid sensitive or identifiable data.
Original evidence
Evidence 1Privacy & Data Protection (FERPA Compliance) - AI must protect student and faculty data. ... When working with AI tools, avoid sharing sensitive or identifiable data.
Teaching
CUNY's AI Academic Hub advises faculty to guide AI use with clarity by establishing responsible AI engagement in coursework.
Review: Agent reviewed
Normalized value: Faculty are advised to establish clear responsible-AI engagement in coursework.
Original evidence
Evidence 1For Faculty: AI-Enhanced Teaching & Research ... Guide AI Use with Clarity - Establish responsible AI engagement in coursework.
Candidate claims
0 machine or needs-review claim
Official sources
2 source attribution
AI Academic Hub - The City University of New York
cuny.edu
Article I - CUNY Policy
policy.cuny.edu