San Antonio, United States

University of Texas at San Antonio

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources5Source languageenPublic JSON/api/public/v1/universities/university-of-texas-at-san-antonio.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

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

AI tools

Derived tool records1

Microsoft Copilot

University of Texas at San Antonio

Tool
Microsoft Copilot
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

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.

Bukti asal

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.

Bukti asal

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.

Bukti asal

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.

Bukti asal

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.

Bukti asal

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

Official sources

5 source attribution

Change log

Last checkedMay 25, 2026Last changedMay 25, 2026Open change log

Corrections

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