research
For health research publications, the Faculty of Medicine guide suggests declaring the type, timing and purpose of AI use, never attributing authorship to an AI tool, and validating AI-assisted production through human authors.
Journal des modifications
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Universidad de Chile currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: 15 mai 2026. No tracker diff rows are recorded in the latest public release.
Cette page combine toutes les différences de publication publique pour Universidad de Chile. Les instantanés des versions individuelles restent disponibles via leurs URL spécifiques à la version.
Aucune ligne de différence de politique entre les versions n'est encore enregistrée pour cette université. La page suit toujours les affirmations actuelles étayées par des sources, les attributions de sources officielles, l'état d'examen, la fraîcheur des sources et les JSON publics pour la découverte et la citation.
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.
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5 Affirmation enregistrements
For health research publications, the Faculty of Medicine guide suggests declaring the type, timing and purpose of AI use, never attributing authorship to an AI tool, and validating AI-assisted production through human authors.
The Faculty of Medicine guide proposes five principles for AI initiatives in that faculty: transparency and traceability, human supervision and non-delegation of critical judgment, equity and technological justice, academic integrity and responsible authorship, and participatory governance with continuous updating.
The Faculty of Medicine's Humanizar la Inteligencia document describes itself as an orienting guide and not as binding regulation.
The FCFM guidance warns teaching teams that inadequate use of generative AI can create ethics risks such as plagiarism and copyright issues, and security/privacy risks such as insufficient data protection or data use without consent.
The FCFM guidance recommends that course teaching teams build a transparency policy with students around possible generative AI uses, including defining when and how the AI tool used should be cited.
2 source attributions
official_pdf Tracker checked at 15 mai 2026, 04:04
official_pdf Tracker checked at 15 mai 2026, 04:04