Policy presence
Université Paris Cité has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Paris, France
Université Paris Cité
Université Paris Cité is listed as QS 2026 rank 300. Université Paris Cité has 3 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Université Paris Cité is listed as QS 2026 rank 300. Université Paris Cité has 3 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Université Paris Cité as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universite-paris-cite.json. The entity-level confidence is 90%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
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.
Coursework
Université Paris Cité has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Université Paris Cité has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Université Paris Cité has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Université Paris Cité has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
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.
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.
Teaching guidance
Université Paris Cité has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
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 reviewed
Normalized value: anti_plagiarism_detection_and_sanctions
Original evidence
Evidence 1L’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 2Les 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 reviewed
Normalized value: gen_ias_teaches_ai_health_ethics_regulation_security
Original evidence
Evidence 1Appréhender 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 2Se 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 reviewed
Normalized value: ia_quest_llm_assessment_rgpd_sensitive_data
Original evidence
Evidence 1l’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 2Ce 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
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
3 source attribution
[AAP Innovation pédagogique 2025] Découvrez les projets lauréats !
u-paris.fr
Charte anti-plagiat
crl.u-paris.fr
DIU Intelligence artificielle générative en santé (GEN-IAS)
odf.u-paris.fr
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.