Policy presence
University of California, Los Angeles (UCLA) has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Los Angeles, United States
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of California, Los Angeles (UCLA) has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of California, Los Angeles (UCLA) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of California, Los Angeles (UCLA) has 3 source-backed public claims for coursework; deterministic analysis status: required.
University of California, Los Angeles (UCLA) has 3 source-backed public claims for exams; deterministic analysis status: required.
University of California, Los Angeles (UCLA) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of California, Los Angeles (UCLA) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
University of California, Los Angeles (UCLA) has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of California, Los Angeles (UCLA) has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of California, Los Angeles (UCLA) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of California, Los Angeles (UCLA) has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
University of California, Los Angeles (UCLA) has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
4 reviewed evidence-backed public claim
Academic Integrity
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 1The 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
Normalized value: Restricted data categories may not be input into AI tools unless explicitly approved in a secure environment.
Original evidence
Evidence 1Users 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
Normalized value: DTS lists available GenAI tools including Copilot, Gemini, ChatGPT Enterprise, Notebook LM, AWS Bedrock models, and Zoom AI Companion.
Original evidence
Evidence 1Please 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
Normalized value: Instructors are encouraged to communicate AI expectations and consider syllabus academic integrity policies.
Original evidence
Evidence 1Instructors 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.
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.
3 source attribution
dts.ucla.edu
dts.ucla.edu
senate.ucla.edu
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