University AI Policy Tracker
APIGitHub
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San Antonio, United States

University of Texas at San Antonio

ClasificaciónQS World University Rankings 2026: 1001-1200Updated19 jul 2026

No reviewed summary yet

Reviewed record

Afirmaciones revisadas

6 reviewed claims

Ai Tool Treatment

Microsoft Copilot is listed for University of Texas at San Antonio in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Revisión: Revisado por un agenteConfianza97%

Valor normalizado: {"tool":"microsoft_copilot","rawToolName":"Microsoft Copilot","description":"University of Texas at San Antonio provides or institutionally supports Microsoft Copilot.","howToObtain":"Use the campus-wide Microsoft Copilot licence.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"institutionally_licensed_or_procured"}

Última verificación
19 jul 2026
Último cambio
19 jul 2026

Evidencia original

Evidencia 1
Faculty, staff and students can use the Microsoft CoPilot license to get started with generative AI

Vista localizada only

Faculty, staff and students can use the Microsoft CoPilot license to get started with generative AI

Idioma de la fuente
English (en)
Hash de instantánea
b6282410…
Recuperado
19 jul 2026

Enseñanza

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.

Revisión: Revisado por un agenteConfianza90%

Valor normalizado: Faculty guide advises course-level AI-use expectations in syllabus and course homepage.

Última verificación
25 may 2026
Último cambio
25 may 2026

Evidencia original

Evidencia 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.
Idioma de la fuente
English (en)
Hash de instantánea
7f2c6e78…
Recuperado
25 may 2026
Localizador de evidencia
Getting Started with Generative AI / Set student expectations

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.

Revisión: Revisado por un agenteConfianza90%

Valor normalizado: Official UTSA AI hub links student and faculty AI resources.

Última verificación
25 may 2026
Último cambio
25 may 2026

Evidencia original

Evidencia 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.
Idioma de la fuente
English (en)
Hash de instantánea
3f64d38e…
Recuperado
25 may 2026
Localizador de evidencia
AI resources created by UT San Antonio section

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.

Revisión: Revisado por un agenteConfianza88%

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

Última verificación
25 may 2026
Último cambio
25 may 2026

Evidencia original

Evidencia 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.
Idioma de la fuente
English (en)
Hash de instantánea
7f2c6e78…
Recuperado
25 may 2026
Localizador de evidencia
Campus-Wide Licenses section, January 2025 faculty guide

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.

Revisión: Revisado por un agenteConfianza87%

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

Última verificación
25 may 2026
Último cambio
25 may 2026

Evidencia original

Evidencia 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.
Idioma de la fuente
English (en)
Hash de instantánea
7f2c6e78…
Recuperado
25 may 2026
Localizador de evidencia
AI Detection Tools and Recommendations section

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.

Revisión: Revisado por un agenteConfianza86%

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

Última verificación
25 may 2026
Último cambio
25 may 2026

Evidencia original

Evidencia 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.
Idioma de la fuente
English (en)
Hash de instantánea
d82d87f4…
Recuperado
25 may 2026
Localizador de evidencia
Citing Works section

Source record

Fuentes oficiales

6 sources

Record information, JSON & citation
Revisiónagent reviewedConfianza97%Snapshot statusNo publicadoJSONJSON público

Citation: University AI Policy Tracker. "University of Texas at San Antonio AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/university-of-texas-at-san-antonio

Original university source language remains canonical. This tracker is not an official university statement.

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