Los Angeles, United States

University of California, Los Angeles (UCLA)

University of California, Los Angeles (UCLA) is listed as QS 2026 rank 46. University of California, Los Angeles (UCLA) has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

University of California, Los Angeles (UCLA) is listed as QS 2026 rank 46. University of California, Los Angeles (UCLA) has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

AI disclosure

University of California, Los Angeles (UCLA) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

University of California, Los Angeles (UCLA) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence2Sources1

Academic integrity

University of California, Los Angeles (UCLA) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence79%Evidence2Sources1

Approved tools

University of California, Los Angeles (UCLA) has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence2Sources1

Teaching guidance

University of California, Los Angeles (UCLA) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence2Sources1

Research guidance

University of California, Los Angeles (UCLA) has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

Security and procurement

University of California, Los Angeles (UCLA) has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.

AllowedMachine candidateConfidence78%Evidence1Sources1

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

4 reviewed evidence-backed public claim

Academic Integrity

UCLA Academic Senate guidance quotes the Student Conduct Code requirement that submissions must be the student’s own work or clearly acknowledge the source, and says that unless an instructor indicates otherwise, use of ChatGPT or other AI tools for course assignments is akin to receiving assistance from another person.

Review: Agent reviewedConfidence94%

Normalized value: Student submissions must be own work or acknowledge sources; unless instructors indicate otherwise, ChatGPT or other AI tool use is treated as assistance from another person.

Original evidence

Evidence 1
The UCLA Student Conduct Code states, “Unless otherwise specified by the faculty member, all submissions, whether in draft or final form, to meet course requirements (including a paper, project, exam, computer program, oral presentation, or other work) must either be the Student’s own work, or must clearly acknowledge the source.” Unless an instructor indicates otherwise, the use of ChatGPT or other AI tools for course assignments is akin to receiving assistance from another person

Localized display only

UCLA Academic Senate guidance quotes the Student Conduct Code and states that submissions must be the student’s own work or clearly acknowledge sources; unless an instructor says otherwise, ChatGPT or similar AI tool use for course assignments is treated like assistance from another person.

Privacy

UCLA DTS guidance says users may not input FERPA-protected student information, HIPPA/HIPAA-protected health data, employee personnel/performance data, unpublished research/IP/grant proposals, or export-controlled or restricted data into AI tools unless explicitly approved in a secure environment.

Review: Agent reviewedConfidence94%

Normalized value: Restricted data categories may not be input into AI tools unless explicitly approved in a secure environment.

Original evidence

Evidence 1
Users may not input the following into AI tools unless explicitly approved in a secure environment: ( any questions regarding the below, please use grc@ucla.edu as the intake email for your questions) FERPA-protected student information (IDs, grades, coursework, etc) – UCLA Registrar FERPA Policy HIPPA-protected health data – UCLA Health HIPAA Notice Employee personnel/performance data – UC IS-3 Information Security Policy Unpublished research, IP, or grant proposals – UC Copyright & IP Policy Export-controlled or restricted data – UCLA Export Control Guidance

Localized display only

UCLA DTS guidance says users may not input listed sensitive data categories into AI tools unless explicitly approved in a secure environment.

Ai Tool Treatment

UCLA DTS AI guidance lists a subset of available generative AI tools including Microsoft Copilot and M365 Copilot, Google Gemini, OpenAI ChatGPT Enterprise, Google Notebook LM, AWS Bedrock models, and Zoom AI Companion.

Review: Agent reviewedConfidence92%

Normalized value: DTS lists available GenAI tools including Copilot, Gemini, ChatGPT Enterprise, Notebook LM, AWS Bedrock models, and Zoom AI Companion.

Original evidence

Evidence 1
Please visit the linked page for most up to date tools, a subset of which is listed below: Microsoft Copilot & M365 Copilot Google Gemini (and Gemini for Workspace) OpenAI ChatGPT Enterprise Google Notebook LM AWS Bedrock models (Amazon Q, PartyRock, Claude, LLaMA, etc.) Zoom AI Companion (Education license)

Localized display only

UCLA DTS says its linked tools page has the most up-to-date tool list and lists a subset including Copilot, Gemini, ChatGPT Enterprise, Notebook LM, AWS Bedrock models, and Zoom AI Companion.

Teaching

UCLA Academic Senate guidance encourages instructors to clarify and communicate expectations to students and to consider incorporating academic integrity policies into the syllabus.

Review: Agent reviewedConfidence92%

Normalized value: Instructors are encouraged to communicate AI expectations and consider syllabus academic integrity policies.

Original evidence

Evidence 1
Instructors are encouraged to clarify and communicate expectations to students • Consider incorporating academic integrity policies into your syllabus

Localized display only

UCLA Academic Senate guidance encourages instructors to communicate expectations to students and consider adding academic integrity policies to the syllabus.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

3 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 11, 2026Last changedMay 11, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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