University AI Policy Tracker
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Santiago, Chile

Universidad de Chile

RankingQS World University Rankings 2026: =173UpdatedMay 15, 2026

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Reviewed record

Reviewed claims

5 reviewed claims

Source Status

The Faculty of Medicine's Humanizar la Inteligencia document describes itself as an orienting guide and not as binding regulation.

Review: Agent reviewedConfidence94%

Normalized value: famed_ai_guide_orienting_not_binding_regulation

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Se trata de un documento de trabajo, en construcción y sujeto a revisión permanente, concebido como una guía orientadora y no como una normativa vinculante.

Localized display only

The document describes itself as a work in progress and orienting guide, not binding regulation.

Source language
Español (es)
Snapshot hash
c9ef7aad…
Retrieved
May 15, 2026
Evidence locator
Presentación

Ai Tool Treatment

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.

Review: Agent reviewedConfidence93%

Normalized value: famed_ai_principles_transparency_human_supervision_equity_integrity_governance

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
se proponen cinco principios fundamentales... transparencia y trazabilidad... supervisión humana y no delegación del juicio crítico... equidad y justicia tecnológica... integridad académica y autoría responsable... gobernanza participativa y actualización continua

Localized display only

The guide proposes five principles: transparency and traceability, human supervision, equity, academic integrity and responsible authorship, and participatory governance with continuous updating.

Source language
Español (es)
Snapshot hash
c9ef7aad…
Retrieved
May 15, 2026
Evidence locator
Principios éticos y criterios orientadores

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.

Review: Agent reviewedConfidence92%

Normalized value: famed_research_ai_declaration_no_ai_authorship_human_validation

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
TRANSPARENCIA EN EL USO: declarar de forma explícita el tipo, el momento y el propósito del uso de herramientas de IA... DISTINCIÓN ENTRE AUTORÍA Y ASISTENCIA: nunca atribuir autoría a una herramienta de IA... SUPERVISIÓN HUMANA: toda producción asistida por IA debe ser validada por los autores

Localized display only

For research publications, the guide recommends explicit AI-use declaration, no AI authorship, and validation of AI-assisted production by human authors.

Source language
Español (es)
Snapshot hash
c9ef7aad…
Retrieved
May 15, 2026
Evidence locator
5.3 Criterios para su uso legítimo en publicaciones científicas

Teaching

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.

Review: Agent reviewedConfidence91%

Normalized value: fcfm_course_transparency_policy_and_ai_citation_recommended

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Construir una política de transparencia al interior del curso, en la cual se consensúen los posibles usos junto a los y las estudiantes. Por ejemplo, definir cuándo y cómo procede la citación de la herramienta IA utilizada.

Localized display only

Build a transparency policy inside the course with students about possible AI uses, including when and how to cite the AI tool used.

Source language
Español (es)
Snapshot hash
d21e6f74…
Retrieved
May 15, 2026
Evidence locator
Recomendaciones generales en el uso de IAG

Privacy

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.

Review: Agent reviewedConfidence90%

Normalized value: fcfm_ai_risk_guidance_plagiarism_privacy_data_protection

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Ética. En este aspecto, usos inadecuados de estas herramientas podrían facilitar acciones relacionadas con el plagio, violaciones de derechos de autor y propiedad intelectual... Seguridad y privacidad. Algunos riesgos a tener en consideración son la protección insuficiente de datos... uso de datos sin consentimiento...

Localized display only

The guidance lists ethics risks such as plagiarism and copyright issues, plus security and privacy risks including insufficient data protection and data use without consent.

Source language
Español (es)
Snapshot hash
d21e6f74…
Retrieved
May 15, 2026
Evidence locator
Limitaciones y riesgos

Source record

Official sources

2 sources

Record information, JSON & citation
Reviewagent reviewedConfidence94%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "Universidad de Chile AI Policy Tracker record." Last checked May 15, 2026. https://eduaipolicy.org/universities/universidad-de-chile

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

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