Paris, France

Université Paris Cité

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources3Source languagefrPublic JSON/api/public/v1/universities/universite-paris-cite.json

Policy profile

Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

Université Paris Cité has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence73%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

3 reviewed evidence-backed public claim

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

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.

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.

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

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.

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.

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

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.

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.

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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