privacy
UNAM's 2025 education recommendations advise faculty using generative AI in teaching to avoid entering personal or sensitive information into AI platforms and to orient students and colleagues about data privacy.
Review: Agent reviewed
Change log
Universidad Nacional Autónoma de México (UNAM)
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
Change summary
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Universidad Nacional Autónoma de México (UNAM) currently has 7 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 14, 2026. No tracker diff rows are recorded in the latest public release.
This page combines all public release diffs for Universidad Nacional Autónoma de México (UNAM). Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
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Universidad Nacional Autónoma de México (UNAM) combined release diff
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+14-0
11 # Universidad Nacional Autónoma de México (UNAM) AI policy record
2+privacy: UNAM's 2025 education recommendations advise faculty using generative AI in teaching to avoid entering personal or sensitive information into AI platforms and to orient students and colleagues about data privacy.
3+Evidence (es-MX, 3f30acc4a4e7): Protección de datos y privacidad. Evita proporcionar información personal o sensible en plataformas de IAGen y asegura el cumplimiento de las normativas de privacidad. Orienta al estudiantado, así como a tus colegas, acerca de la importancia de la privacidad de los datos y cómo las distintas plataformas los procesan.
4+academic_integrity: For assessment, UNAM's 2025 recommendations advise faculty to define the level of generative-AI incorporation and, when AI use is allowed, ask students to provide the prompts/instructions and generated responses for review.
5+Evidence (es-MX, 3f30acc4a4e7): Definir su nivel de incorporación. Es importante determinar en qué medida utilizar la IAGen en función de los conocimientos y habilidades que se desean evaluar. ... En aquellos casos en los que se permita el uso de IAGen, solicita que el estudiantado proporcione las instrucciones y respuestas generadas por la herramienta para valorarlas.
6+academic_integrity: UNAM's 2025 recommendations advise designing strategies for undeclared generative-AI use and caution against indiscriminate use of AI detectors because their effectiveness is questioned and they raise privacy concerns.
7+Evidence (es-MX, 3f30acc4a4e7): Diseñar estrategias que prevengan y atiendan el uso no declarado de la IAGen. ... Evitar el uso indiscriminado de detectores de IAGen. Actualmente, su eficacia es cuestionada y plantea preocupaciones de privacidad.
8+academic_integrity: UNAM's 2023 teaching recommendations suggest that faculty clearly specify acceptable and unacceptable ChatGPT use, require recognition and documentation of AI-tool use, and emphasize user responsibility for submitted academic products.
9+Evidence (es-MX, c24553d883bb): Asimismo, establecer la necesidad de reconocer y documentar cómo se utilizó la herramienta y qué acciones se tomaron para decidir la permanencia o no del contenido creado por estas herramientas, así como enfatizar la responsabilidad final del usuario sobre los productos académicos que se entreguen a revisión.
10+ai_tool_treatment: UNAM's 2025 GAIA-GEN document frames its generative-AI education content as recommendations for informed, ethical, and critical use, not as a rigid prescriptive framework.
11+Evidence (es-MX, 3f30acc4a4e7): Estas recomendaciones aspiran a ser elementos que detonen en la comunidad universitaria (profesorado, estudiantado, funcionariado) creatividad y apropiación crítica de estas tecnologías, no pretenden ser marcos rígidos que intenten prescribir el trabajo académico respecto a la IAGen.
12+research: The 2025 UNAM DGTIC ethics diagnostic frames transparency in AI-mediated research as clearly stating whether AI tools were used in questions, hypotheses, experimental design, calculations, data analysis, or research-report writing.
13+Evidence (es-MX, 3a8d8f173dd6): Las implicaciones descritas ... están ligadas entre sí por la necesidad de transparentar el uso de los SIA y sus herramientas, lo que obliga moralmente al investigador a explicitar con claridad si se ha apoyado en ellas, ya sea en la formulación de preguntas, hipótesis y objetivos, en el diseño de experimentos, en la ejecución de los cálculos, el análisis de los datos o la elaboración del informe de investigación.
14+source_status: A 2025 UNAM DGTIC ethics diagnostic says UNAM did not yet have an institutional framework for ethical integration of AI systems, while recommending stronger normative work and ethics-committee capacity for AI cases.
15+Evidence (es-MX, 3a8d8f173dd6): Por el momento, la UNAM aún no cuenta con ningún marco institucional de integración de la ética en los SIA; no obstante existen áreas universitarias, como el IIMAS o el IIJ, que han profundizado en la aplicación de la ética al proceso investigativo y en la ética del derecho.
Release history
0 public release diffs
Claim changes
7 claim records
academic_integrity
For assessment, UNAM's 2025 recommendations advise faculty to define the level of generative-AI incorporation and, when AI use is allowed, ask students to provide the prompts/instructions and generated responses for review.
Review: Agent reviewed
academic_integrity
UNAM's 2025 recommendations advise designing strategies for undeclared generative-AI use and caution against indiscriminate use of AI detectors because their effectiveness is questioned and they raise privacy concerns.
Review: Agent reviewed
academic_integrity
UNAM's 2023 teaching recommendations suggest that faculty clearly specify acceptable and unacceptable ChatGPT use, require recognition and documentation of AI-tool use, and emphasize user responsibility for submitted academic products.
Review: Agent reviewed
ai_tool_treatment
UNAM's 2025 GAIA-GEN document frames its generative-AI education content as recommendations for informed, ethical, and critical use, not as a rigid prescriptive framework.
Review: Agent reviewed
research
The 2025 UNAM DGTIC ethics diagnostic frames transparency in AI-mediated research as clearly stating whether AI tools were used in questions, hypotheses, experimental design, calculations, data analysis, or research-report writing.
Review: Agent reviewed
source_status
A 2025 UNAM DGTIC ethics diagnostic says UNAM did not yet have an institutional framework for ethical integration of AI systems, while recommending stronger normative work and ethics-committee capacity for AI cases.
Review: Agent reviewed
Source snapshots
3 source attributions
Recomendaciones para el uso de la inteligencia artificial generativa en la docencia
official_guidance Tracker checked at May 14, 2026, 1:55 PM
Recomendaciones para el uso educativo de la Inteligencia Artificial Generativa en la UNAM
official_guidance Tracker checked at May 14, 2026, 1:55 PM
Uso y desarrollo ético de la Inteligencia Artificial en la Universidad: docencia e investigación
official_guidance Tracker checked at May 14, 2026, 1:55 PM