University AI Policy Tracker
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Paris, France

Université Paris Cité

RankingQS World University Rankings 2026: 300UpdatedMay 16, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

3 reviewed claims

Academic Integrity

Université Paris Cité's CRL anti-plagiarism charter states that the university runs student awareness campaigns on plagiarism-related ethical misconduct, uses dedicated detection software to search for plagiarism attempts, and may refer alleged breaches for disciplinary sanctions.

Review: Agent reviewedConfidence90%

Normalized value: anti_plagiarism_detection_and_sanctions

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
L’université mène régulièrement des campagnes de sensibilisation en direction de l’ensemble de ses étudiants pour éveiller leur attention sur les fautes déontologiques et éthiques liées au plagiat. Elle s’engage à rechercher les tentatives de plagiat par l'utilisation d'un logiciel dédié à sa détection.

Localized display only

The university says it runs student awareness campaigns about ethical misconduct linked to plagiarism and uses dedicated detection software.

Source language
Français (fr)
Snapshot hash
f7d017d0…
Retrieved
May 16, 2026
Evidence locator
Article 4

Original evidence

Evidence 2
Les auteurs présumés d’actes de plagiats ou de manquements à la présente charte seront traduits devant la section usagers et sont passibles de sanctions disciplinaires.

Localized display only

Alleged plagiarism or charter breaches may be referred to the user section and can lead to disciplinary sanctions.

Source language
Français (fr)
Snapshot hash
f7d017d0…
Retrieved
May 16, 2026
Evidence locator
Article 6

Teaching

The official Université Paris Cité GEN-IAS course catalogue states that the DIU covers generative AI in health, including organizational, regulatory, economic and ethical aspects, and targets competencies such as preventing risks, respecting the legal and regulatory environment, ethics, and human guarantee.

Review: Agent reviewedConfidence88%

Normalized value: gen_ias_teaches_ai_health_ethics_regulation_security

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
Appréhender les aspects organisationnels, réglementaires, économiques et éthiques liés à l'introduction de l'IA générative dans la pratique

Localized display only

One course objective is to understand organizational, regulatory, economic, and ethical aspects linked to introducing generative AI into practice.

Source language
Français (fr)
Snapshot hash
4bfa844f…
Retrieved
May 16, 2026
Evidence locator
Objectifs

Original evidence

Evidence 2
Se prémunir des risques; Proposer et mettre en place un projet d'IA générative dans un établissement de santé; Respecter l'environnement légal et réglementaire; Respecter l'éthique et la garantie humaine

Localized display only

Target competencies include preventing risks, implementing a generative-AI health project, and respecting the legal and regulatory environment, ethics, and human guarantee.

Source language
Français (fr)
Snapshot hash
4bfa844f…
Retrieved
May 16, 2026
Evidence locator
Compétences visées

Teaching

An official Université Paris Cité innovation-pedagogy announcement describes the IA-QUEST project as studying an LLM-assisted assessment workflow for medical ECOS, with local open-source LLM deployment framed as enabling RGPD-compliant use for sensitive ECOS data.

Review: Agent reviewedConfidence86%

Normalized value: ia_quest_llm_assessment_rgpd_sensitive_data

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
l’arrivée de modèles de langage (LLMs) “open-source” installés sur un ordinateur et fonctionnant sans connexion internet ni transfert de données, rend possible une utilisation conforme au RGPD et adaptée aux données sensibles des ECOS (voix des étudiants, sujets d’examens).

Localized display only

The page frames local open-source LLMs without internet connection or data transfer as enabling RGPD-compliant use for sensitive ECOS data.

Source language
Français (fr)
Snapshot hash
050c8491…
Retrieved
May 16, 2026
Evidence locator
Projet IA-QUEST

Original evidence

Evidence 2
Ce projet pédagogique a pour objectif d’analyser, lors des ECOS en stage de médecine générale, la concordance entre les notations attribuées par deux enseignants évaluateurs et par une intelligence artificielle (LLM dédié).

Localized display only

The IA-QUEST project aims to analyze agreement between scores assigned by two teacher evaluators and by a dedicated LLM.

Source language
Français (fr)
Snapshot hash
050c8491…
Retrieved
May 16, 2026
Evidence locator
Projet IA-QUEST

Source record

Official sources

3 sources

Record information, JSON & citation
Reviewagent reviewedConfidence90%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "Université Paris Cité AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/universite-paris-cite

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

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