San Antonio, United States

University of Texas at San Antonio

University of Texas at San Antonio has 5 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 25, 2026.

University of Texas at San Antonio AI policy short answer

v1 public contract

University of Texas at San Antonio has 5 source-backed AI policy claims from 5 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 25, 2026. Discovery context: University of Texas at San Antonio is listed as QS 2026 rank 1001-1200.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Texas at San Antonio as an agent-reviewed AI policy record last checked on May 25, 2026 and last changed on May 25, 2026. The record contains 5 source-backed claims, including 5 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-texas-at-san-antonio.json. The entity-level confidence is 90%. 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.

Claim coverage5 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-texas-at-san-antonio.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Source status claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources5

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 confidence75%

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.

Privacy and data entry

University of Texas at San Antonio has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence1Sources1

Approved tools

University of Texas at San Antonio has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence1Sources1

Named AI services

University of Texas at San Antonio has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

5 reviewed evidence-backed public claim

Teaching

UTSA's faculty generative AI guide advises faculty to clearly state in the syllabus and course homepage whether and how AI use is allowed, while recognizing that faculty may choose different course approaches.

Review: Agent reviewedConfidence90%

Normalized value: Faculty guide advises course-level AI-use expectations in syllabus and course homepage.

原始证据

Evidence 1
Faculty are responsible for their syllabus and courses. Because faculty may choose different approaches for generative AI, clearly state in the syllabus and the course homepage whether and how you are allowing the use of AI.

Source Status

UTSA Academic Affairs maintains an official Teaching, Learning and Artificial Intelligence page that links separate UT San Antonio-created AI resources for students and faculty.

Review: Agent reviewedConfidence90%

Normalized value: Official UTSA AI hub links student and faculty AI resources.

原始证据

Evidence 1
AI resources created by UT San Antonio ... For UT San Antonio Students ... AI Essentials: Guidelines and Approaches ... For UT San Antonio Faculty ... Using Generative AI in Teaching, Learning and Research.

Ai Tool Treatment

UTSA's faculty generative AI guide identifies Microsoft Copilot as the only UTSA-approved AI tool in that guide, citing commercial data protection, and separately cautions users to avoid sharing private data to any LLM.

Review: Agent reviewedConfidence88%

Normalized value: Microsoft Copilot identified in faculty guide as only UTSA-approved AI tool; avoid private data in any LLM.

原始证据

Evidence 1
Faculty, staff and students can use the Microsoft CoPilot license to get started with generative AI. This is the only UTSA-approved AI tool because it offers the power of GPT-4 ... with Microsoft’s stringent commercial data protection ... Users should be careful to avoid sharing private data to any LLM.

Academic Integrity

UTSA's faculty guide warns that AI detection tools are imperfect and recommends using established university conduct processes and evidence-based evaluation rather than relying solely on AI-detection results.

Review: Agent reviewedConfidence87%

Normalized value: AI detection results should not be the sole basis for academic-integrity handling under the faculty guide.

原始证据

Evidence 1
AI detection tools ... are inherently imperfect and prone to false positives and false negatives. Relying solely on detection tools can lead to inaccuracies ... To uphold academic integrity, we emphasize following the established processes and guidelines outlined in the university's code of conduct.

Academic Integrity

UTSA Libraries' Artificial Intelligence guide says AI-generated information should be fact-checked and that AI used as a source or content generator needs to be cited in submitted work.

Review: Agent reviewedConfidence86%

Normalized value: UTSA Libraries AI guide tells users to fact-check AI and cite AI when used as source or content generator.

原始证据

Evidence 1
Fact-check: AI can generate false information. Verify with additional sources. ... Acknowledgement: If you use AI as a source or as a content generator, it needs to be cited in your work.

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

5 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 25, 2026Last changedMay 25, 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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