New York City, United States

City University of New York

No reviewed summary yet

Reviewed record

Reviewed claims

5 reviewed claims

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 reviewedConfidence95%

Normalized value: Generative AI use is assignment- and instructor-policy dependent.

Original evidence

Evidence 1
Any 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 reviewedConfidence94%

Normalized value: Unauthorized AI-system use during an academic exercise is included in cheating.

Original evidence

Evidence 1
Cheating 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 reviewedConfidence93%

Normalized value: Unauthorized or uncited AI-generated content may be plagiarism under the CUNY policy examples.

Original evidence

Evidence 1
Unauthorized 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 reviewedConfidence88%

Normalized value: AI use should protect data and avoid sensitive or identifiable data.

Original evidence

Evidence 1
Privacy & 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 reviewedConfidence82%

Normalized value: Faculty are advised to establish clear responsible-AI engagement in coursework.

Original evidence

Evidence 1
For Faculty: AI-Enhanced Teaching & Research ... Guide AI Use with Clarity - Establish responsible AI engagement in coursework.

Source record

Official sources

2 sources

Record information, JSON & citation
Reviewagent reviewedConfidence95%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "City University of New York AI Policy Tracker record." Last checked May 17, 2026. https://eduaipolicy.org/universities/city-university-of-new-york

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

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