Check New York University AI Policy Online
Review NYU’s generative AI teaching guidance, academic-integrity expectations, course permissions, and school-specific policy models.
Verified from official university sourcesQuick Policy Overview
Depends on school, course, and assignment
Depends; required when approved use contributes to work
Instructors set the rules for their own courses.
Teaching FAQ dated February 20, 2025; student guidance updated May 7, 2026
Checked against official university sources.
1. Summary
NYU frames unauthorized or uncredited AI-generated work as an authorship and academic-integrity problem. Faculty can approve AI for specific assignments and define how it must be acknowledged.
Hybrid Check primary source.Use scope: Depends on school, course, and assignment.
Disclosure: Depends; required when approved use contributes to work.
Instructor/course rules can override the general university guidance.
Integrity: NYU frames unauthorized or uncredited AI-generated work as an authorship and academic-integrity problem.
Check primary source.
2. Why Check This Policy
NYU’s schools provide policy models that range from allowing brainstorming and drafting with disclosure to treating any generated work as plagiarism. Steinhardt even advises that different assignments in one course may use different rules. Students should therefore check the school, instructor, and assignment rather than assuming that an AI tool is either universally allowed or universally banned at NYU.
3. When AI Is Commonly Allowed
Brainstorming or idea generation when permitted.
Only if your instructor allows it for the specific assignment.
4. When AI Is Commonly Restricted
AI use that falls under plagiarism or similar misconduct rules.
Always check your course syllabus for specific restrictions.
5. Disclosure Requirements
Depends; required when approved use contributes to work.
Faculty can approve AI for specific assignments and define how it must be acknowledged.
Where AI use is permitted, disclosure usually takes one of these forms:
- A statement or acknowledgement in your submission
- A citation of the AI tool, in the format your course requires
- A short methods note describing how AI was used
Follow the exact format your instructor or department requires.