Policy presence
University of California, Santa Barbara (UCSB) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Santa Barbara, United States
University of California, Santa Barbara (UCSB)
University of California, Santa Barbara (UCSB) is listed as QS 2026 rank 179. University of California, Santa Barbara (UCSB) has 10 source-backed AI policy claim records from 6 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, Santa Barbara (UCSB) is listed as QS 2026 rank 179. University of California, Santa Barbara (UCSB) has 10 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of California, Santa Barbara (UCSB) as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 10 source-backed claims, including 10 reviewed claims, from 6 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-barbara.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.
Policy signals in this record
- Evidence includes Security review claims.
- Evidence includes Procurement claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Other policy claims.
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
Review: Agent reviewed
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.
Review: Machine candidate
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, Santa Barbara (UCSB) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of California, Santa Barbara (UCSB) has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of California, Santa Barbara (UCSB) has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of California, Santa Barbara (UCSB) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for approved tools; deterministic analysis status: blocked.
Named AI services
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
University of California, Santa Barbara (UCSB) has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of California, Santa Barbara (UCSB) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University of California, Santa Barbara (UCSB) has 3 source-backed public claims for security and procurement; deterministic analysis status: recommended.
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
10 reviewed evidence-backed public claim
Security Review
UCSB's AI technical and security guidance calls for assessing AI third-party applications, consulting the Office of Information Security on AI use cases and implementations, and contacting the Chief Information Security Officer's office for P3/P4 data use.
Review: Agent reviewed
Normalized value: ai_security_assessment_and_p3_p4_consultation
Original evidence
Evidence 1Assess the inclusion of AI third-party applications, including privacy policies, certifications, and audit reports. Consult with the Office of Information Security to assist with reviewing the use case and AI implementation. Users who seek to incorporate P3/P4 data should contact the Chief Information Security Officer's office.
Localized display only
The technical guidance directs AI implementation reviewers to assess third-party apps, consult the Office of Information Security, and contact the CISO office for P3/P4 data.
Procurement
UCSB CIO implementation guidance says, as a general guideline, AI implementations with expected initial costs over $100,000 or ongoing operating costs over $50,000 should be brought to the IT Council for review and evaluation.
Review: Agent reviewed
Normalized value: ai_implementation_it_council_review_thresholds
Original evidence
Evidence 1As a general guideline, those implementations with expected initial implementation costs of over $100,000, and/or ongoing operating costs of over $50,000, should be brought to the IT Council for review and evaluation.
Localized display only
The implementation guidance gives cost thresholds for bringing AI implementations to UCSB's IT Council for review and evaluation.
Academic Integrity
UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.
Review: Agent reviewed
Normalized value: ai_assignment_use_instructor_discretion
Original evidence
Evidence 1Using any tool such as an artificial-intelligence program is up to the discretion of the instructor of record. We advise students to review their course syllabus and have a conversation with their instructor of record regarding what is an acceptable or not acceptable use of artificial-intelligence programs in the specific course.
Localized display only
Student Conduct says assignment use of AI tools is determined by the instructor of record and points students to the syllabus and instructor discussion.
Privacy
UCSB Information Technology guidance says ChatGPT should be treated as potentially unprotected for personal, confidential, or otherwise sensitive information and should not be used with sensitive or confidential information.
Review: Agent reviewed
Normalized value: do_not_use_chatgpt_with_sensitive_or_confidential_information
Original evidence
Evidence 1At present, ChatGPT should be used with the assumption that any personal, confidential, or otherwise sensitive information may not be protected. Do not use ChatGPT with sensitive or confidential information, such as student information, health information, financial information, staff information, personally identifiable information (PII), or personnel conduct data.
Localized display only
UCSB IT warns that ChatGPT may not protect personal, confidential, or sensitive information and should not be used with sensitive or confidential information.
Other
UCSB's CIO page provides AI-use guidance for members of the campus community engaging with AI for research, teaching, administrative work, and other university-associated functions, with context-dependent application.
Review: Agent reviewed
Normalized value: campus_ai_use_guidance
Original evidence
Evidence 1These guidelines, developed by the UCSB ITC Subcommittee on AI, are intended to serve as guidance for members of the campus community who engage with AI for research, teaching, administrative work, and other university-associated functions.
Localized display only
UCSB's CIO page frames the guidelines as campus-community guidance for AI use across research, teaching, administrative work, and other university functions.
Academic Integrity
UCSB OTL states that UCSB does not support AI plagiarism-detection software and that the Office of Student Conduct does not accept such tools as sole evidence for academic dishonesty.
Review: Agent reviewed
Normalized value: ai_detection_not_supported_not_sole_evidence
Original evidence
Evidence 1While AI detection software exists, the UCSB Office of Student Conduct does not accept these tools as sole evidence for academic dishonesty due to their known inaccuracies. UCSB does not support the use of plagiarism detection software.
Localized display only
OTL says AI-detection tools are not accepted as sole academic-dishonesty evidence and says UCSB does not support plagiarism-detection software.
Source Status
UCSB OTL states that neither UCSB nor the UC system has a formal generative-AI policy for teaching and learning contexts, so instructors may formulate class policies.
Review: Agent reviewed
Normalized value: no_formal_genai_teaching_learning_policy_stated_by_otl
Original evidence
Evidence 1Neither UCSB nor the UC system has a formal policy on generative AI in teaching and learning contexts, thereby allowing instructors to formulate their own class policies.
Localized display only
OTL describes the teaching-and-learning policy status as decentralized to instructor class policies rather than a formal UCSB or UC generative-AI teaching policy.
Ai Tool Treatment
UCSB CIO guidance says units implementing AI tools should make clear when AI tools are used, when AI use is permitted or forbidden, and when individual or campus-unit data is used to train AI tools.
Review: Agent reviewed
Normalized value: transparency_for_ai_tool_use_and_training_data
Original evidence
Evidence 1Individuals should be informed when AI-enabled tools are being used. When individuals are permitted or forbidden to use AI tools, or when individual or campus unit data is used to train AI-enabled tools, this should be made clear by the units implementing the AI tools.
Localized display only
The CIO guidance asks implementing units to be transparent about AI-tool use, permissions or prohibitions, and use of individual or unit data for AI training.
Teaching
UCSB OTL guidance says AI should not be used to provide direct feedback on student work, and that instructors using AI to analyze student work for common patterns or sample comments must obtain consent.
Review: Agent reviewed
Normalized value: ai_direct_feedback_not_used_pattern_analysis_requires_consent
Original evidence
Evidence 1AI should not be used to provide direct feedback on student work. It is possible to use AI to analyze student work for common patterns, generate categories of success or areas of challenge, or create a set of sample comments; however, you must obtain consent.
Localized display only
OTL says AI should not provide direct feedback on student work and that consent is needed for AI-supported pattern analysis of student work.
Teaching
The UCSB Writing Program's AI policy encourages critically aware and transparent use of AI writing technology and expects students to maintain academic integrity by acknowledging assistance from these tools.
Review: Agent reviewed
Normalized value: writing_program_transparent_ai_writing_tool_attribution
Original evidence
Evidence 1Given the expanding role that large language models will undoubtedly play in our students' lives, we encourage highly mediated, critically-aware, and transparent use of AI writing technology. We expect students to maintain academic integrity and honesty while using AI writing technology, acknowledging any and all assistance received from these tools.
Localized display only
The Writing Program encourages transparent, critically aware AI writing-tool use and expects students to acknowledge assistance.
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
6 source attribution
Academic Integrity FAQ's
studentconduct.sa.ucsb.edu
Artificial Intelligence in Classes
otl.ucsb.edu
Data Protection and ChatGPT Use
it.ucsb.edu
Generative Artificial Intelligence in Teaching and Learning
otl.ucsb.edu
Guidelines for AI Use
cio.ucsb.edu
UCSB Writing Program AI Policy
writing.ucsb.edu
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.
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.