public-release-20260715-005
Comparé à public-release-20260714-002.
différentiel Universidad Nacional Autónoma de México (UNAM) public-release-20260715-005
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
Journal des modifications
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Actualité des dossiers publics et état d'examen actuel.
Universidad Nacional Autónoma de México (UNAM) currently has 8 source-backed claim records and 4 official source attributions. Latest tracked changed date: 19 juil. 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Cette page combine toutes les différences de publication publique pour Universidad Nacional Autónoma de México (UNAM). Les instantanés des versions individuelles restent disponibles via leurs URL spécifiques à la version.
This tracker 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.
Les affirmations récemment extraites sont des ajouts au suivi et ne sont pas nécessairement de nouvelles publications de l'université. Les changements d'instantané source montrent des variations de hachage pour la même URL source et ne constituent pas en eux-mêmes des changements de politique.
Classification sémantique pour cette différence de version.
Diffusion unifiée du suivi générée à partir de toutes les captures instantanées de version publique pour cette université.
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
1 diff de publication publique
Comparé à public-release-20260714-002.
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
8 Affirmation enregistrements
Asistente IA CUAED is listed for Universidad Nacional Autónoma de México (UNAM) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
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.
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.
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.
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.
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.
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.
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.
4 source attributions
official_guidance Tracker checked at 16 juil. 2026, 01:29
official_guidance Tracker checked at 14 mai 2026, 13:55
official_guidance Tracker checked at 14 mai 2026, 13:55
official_guidance Tracker checked at 14 mai 2026, 13:55