Policy presence
Universidad Nacional Autónoma de México (UNAM) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Mexico City, Mexico
Universidad Nacional Autónoma de México (UNAM)
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
Universidad Nacional Autónoma de México (UNAM) has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad Nacional Autónoma de México (UNAM) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Universidad Nacional Autónoma de México (UNAM) has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Universidad Nacional Autónoma de México (UNAM) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universidad Nacional Autónoma de México (UNAM) has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Universidad Nacional Autónoma de México (UNAM) has 2 source-backed public claims for approved tools; deterministic analysis status: recommended.
Named AI services
Universidad Nacional Autónoma de México (UNAM) has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universidad Nacional Autónoma de México (UNAM) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universidad Nacional Autónoma de México (UNAM) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
7 reviewed evidence-backed public claim
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
Original evidence
Evidence 1Protección 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.
Localized display only
Data protection and privacy: avoid providing personal or sensitive information in GenAI platforms and orient students and colleagues about data privacy.
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
Original evidence
Evidence 1Definir 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.
Localized display only
Define the level of GenAI incorporation for the knowledge and skills being assessed; when allowed, ask students to provide prompts/instructions and generated responses.
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
Original evidence
Evidence 1Diseñar 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.
Localized display only
Design strategies for undeclared GenAI use and avoid indiscriminate AI-detector use because effectiveness is questioned and privacy concerns exist.
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
Original evidence
Evidence 1Asimismo, 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.
Localized display only
Establish the need to recognize and document how the tool was used and emphasize the user's final responsibility for academic products submitted for review.
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
Original evidence
Evidence 1Estas 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.
Localized display only
These recommendations are intended to encourage critical appropriation, not to be rigid frameworks prescribing academic work with GenAI.
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
Original evidence
Evidence 1Las 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.
Localized display only
The document links AI-mediated research ethics to transparency: researchers should clearly state whether they used AI tools in research questions, design, calculations, analysis, or report writing.
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
Original evidence
Evidence 1Por 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.
Localized display only
The diagnostic says UNAM does not yet have an institutional ethical-integration framework for AI systems, while noting university areas working on ethics and AI topics.
Candidate claims
0 machine or needs-review claim
Official sources
3 source attribution
Recomendaciones para el uso de la inteligencia artificial generativa en la docencia
cuaed.unam.mx
Recomendaciones para el uso educativo de la Inteligencia Artificial Generativa en la UNAM
iagen.unam.mx
Uso y desarrollo ético de la Inteligencia Artificial en la Universidad: docencia e investigación
tic.unam.mx