Check University of California, Los Angeles AI Policy Online

Check UCLA’s official AI guidance, academic-integrity expectations, course-policy models, and assignment-specific disclosure requirements.

Verified from official university sources

Quick Policy Overview

AI Allowed Depends

Depends on course and assignment

Disclosure Depends

Depends; required when the course permits AI with citation

Instructor Overrides Yes

Instructors set the rules for their own courses.

Last Updated March 27, 2023

Core Senate guidance published March 27, 2023; teaching resources updated subsequently

Data Status Verified

Checked against official university sources.

1. Summary

UCLA encourages instructors to state clearly whether AI is prohibited, permitted in limited ways, or allowed with citation. The university does not provide one universal permission rule for all coursework.

Hybrid Check primary source.

Use scope: Depends on course and assignment.

Disclosure: Depends; required when the course permits AI with citation.

Instructor/course rules can override the general university guidance.

Integrity: Unauthorized or misleading AI use may be treated as an academic integrity issue under university rules.

Check primary source.

2. Why Check This Policy

UCLA’s teaching materials explicitly present multiple legitimate course models, including a complete ban and limited use with citation. That means a student cannot infer permission from UCLA’s general support for responsible AI. The controlling rule is the instructor’s syllabus or assignment statement, and separate campus guidance also applies to privacy, security, and data handling.

3. When AI Is Commonly Allowed

Uses that are allowed with disclosure, attribution, or citation.

Only if your instructor allows it for the specific assignment.

4. When AI Is Commonly Restricted

Any use that an instructor, school, or program explicitly prohibits.

Always check your course syllabus for specific restrictions.

5. Disclosure Requirements

Depends; required when the course permits AI with citation.

Disclosure depends on the course, school, or assignment rule. If AI use is allowed, instructors may still require attribution or a statement of use.

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.

6. Sources & References

Official AI policy senate.ucla.edu — teaching guidance chatgpt and related ai developments teaching.ucla.edu — using generative ai reflectively and responsibly in teaching and learning

Academic integrity policy deanofstudents.ucla.edu — academic integrity

Department & school policies teaching.ucla.edu — creating a generative ai policy for your course humtech.ucla.edu — syllabus language ethics dts.ucla.edu — ai use recommendation guide

7. FAQ

Can I use AI for assignments?

Uses that are allowed with disclosure, attribution, or citation.

Do I need to disclose AI use?

Depends; required when the course permits AI with citation.

Can an instructor set stricter rules?

Yes. Course-level or instructor-level rules can be stricter than general guidance.

What happens if I break the rules?

Unauthorized or misleading AI use may be treated as an academic integrity issue under university rules. Check primary source.