Policy presence
University of California, Santa Cruz has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Santa Cruz, United States
University of California, Santa Cruz is listed as QS 2026 rank =458. University of California, Santa Cruz has 6 source-backed AI policy claim records from 5 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, Santa Cruz is listed as QS 2026 rank =458. University of California, Santa Cruz has 6 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists University of California, Santa Cruz as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-california-santa-cruz.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
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, Santa Cruz has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of California, Santa Cruz has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
University of California, Santa Cruz has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
University of California, Santa Cruz has 3 source-backed public claims for exams; deterministic analysis status: restricted.
University of California, Santa Cruz has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of California, Santa Cruz has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
University of California, Santa Cruz has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.
University of California, Santa Cruz has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
University of California, Santa Cruz has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of California, Santa Cruz has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
6 reviewed evidence-backed public claim
Privacy
Normalized value: p4_never_any_ai_tool_p3_p4_not_unlicensed
Original evidence
Evidence 1University standards prohibit entering sensitive data — P3 or P4 data, including personally identifiable and FERPA-protected records — into any unlicensed tool.
Localized display only
ITS says P3/P4 data is prohibited in unlicensed AI tools and P4 data should never be entered in AI tools.
Ai Tool Treatment
Normalized value: gemini_chat_notebooklm_zoom_ai_companion_staff_contractors
Original evidence
Evidence 1The Artificial Intelligence (AI) tools listed on this page are available at UC Santa Cruz and protected by campus and UC-system agreements.
Localized display only
The comparison page lists UCSC campus-licensed AI tools protected by campus and UC-system agreements.
Source Status
Normalized value: course_or_assignment_level_ai_use_policy
Original evidence
Evidence 1At UC Santa Cruz, instructors set policy on use of AI at the individual course level. In some cases, a policy might be set at the level of an assignment.
Localized display only
The FAQ says instructors set AI-use policy at the course or assignment level.
Academic Integrity
Normalized value: tlc_aio_guidance_suspected_genai_misuse
Original evidence
Evidence 1This TLC resource, co-developed in partnership with the Academic Integrity Office (AIO), is designed to guide you through the process of recognizing and responding when you suspect misuse of generative artificial intelligence (genAI) in your classroom.
Localized display only
The TLC/AIO resource guides instructors responding to suspected generative AI misuse.
Teaching
Normalized value: tlc_course_ai_policy_syllabus_guidance
Original evidence
Evidence 1A clear, well-planned policy—integrated into your syllabus—provides students with transparent expectations, supports academic integrity, and ensures equitable application across disciplines.
Localized display only
The TLC page recommends a clear syllabus-integrated AI-use policy with expectations and attribution norms.
Research
Normalized value: human_subjects_ai_contact_irb
Original evidence
Evidence 1If you are considering using AI in human subjects research, contact UCSC’s IRB office at orca@ucsc.edu.
Localized display only
The FAQ directs AI human-subjects research questions to UCSC's IRB office.
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.
5 source attribution
tlc.ucsc.edu
campusai.ucsc.edu
tlc.ucsc.edu
its.ucsc.edu
its.ucsc.edu
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.
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.