Policy presence
Sorbonne University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Paris, France
Sorbonne University
Sorbonne University is listed as QS 2026 rank =72. Sorbonne University has 6 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
Sorbonne University is listed as QS 2026 rank =72. Sorbonne University has 6 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.
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
Sorbonne University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Sorbonne University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Sorbonne University has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Sorbonne University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Sorbonne University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Sorbonne University has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Sorbonne University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Sorbonne University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Sorbonne University has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
6 reviewed evidence-backed public claim
Academic Integrity
Sorbonne University's 2024-2025 assessment rules state that assessment documents must be the student's or assessed group's personal work, AI use is refused unless explicitly authorized, and authorized AI use should mention the source.
Review: Agent reviewed
Normalized value: assessment_work_personal_ai_refused_unless_authorized_authorized_ai_source_mentioned
Original evidence
Evidence 1L’ensemble des documents produits dans le cadre d’une évaluation doit être l’œuvre personnelle de l’étudiant, de l’étudiante ou du groupe évalué. Lorsque le recours à l’intelligence artificielle (IA) n’est pas explicitement autorisé, il est refusé. Lorsque l’IA est autorisée, il convient de mentionner la source.
Localized display only
All documents produced for an assessment must be the student's or group's personal work; AI use is refused unless explicitly authorized, and authorized AI use should mention the source.
Academic Integrity
Sorbonne University's 2024-2025 assessment rules treat unauthorized AI-generated work presented as one's own, or authorized AI use without source mention, as plagiarism.
Review: Agent reviewed
Normalized value: unauthorized_ai_or_authorized_ai_without_source_is_plagiarism
Original evidence
Evidence 1De même, utiliser l’IA afin de produire des résultats en les donnant pour siens sans y être autorisé, ou l’utiliser en y étant autorisé, mais sans mentionner la source, sera considéré comme relevant du plagiat.
Localized display only
Using AI to produce results as one's own without authorization, or using it with authorization but without mentioning the source, is considered plagiarism.
Privacy
Sorbonne University's Faculty of Health research recommendations say not to transmit non-public or unpublished content, personal data, confidential data, or sensitive data to a generative AI tool.
Review: Agent reviewed
Normalized value: health_faculty_research_no_nonpublic_personal_confidential_sensitive_data_to_genai
Original evidence
Evidence 1Ne pas transmettre à un outil d’IA générative de contenu qui ne soit pas public ou déjà publié. Ne pas soumettre à un outil d’IA générative des données personnelles, confidentielles ou sensibles.
Localized display only
Do not transmit content that is not public or already published to a generative AI tool; do not submit personal, confidential, or sensitive data to a generative AI tool.
Research
Sorbonne University's Faculty of Health research recommendations say users should be transparent about generative AI use in research projects and document use when writing scientific documents such as protocols, analysis plans, reports, articles, presentations, dissertations, or theses.
Review: Agent reviewed
Normalized value: health_faculty_research_transparency_document_genai_use_in_scientific_documents
Original evidence
Evidence 1Faire preuve de transparence sur l’utilisation d’outils IA générative dans les projets de recherche. Lors de la rédaction de documents scientifiques, tels qu’un protocole de recherche, un plan d’analyse, un rapport, un article, une présentation en congrès, un mémoire, ou une thèse, vous devez documenter l’utilisation de ces outils.
Localized display only
Be transparent about the use of generative AI tools in research projects, and document the use of these tools when writing scientific documents.
Research
Sorbonne University's Faculty of Health research recommendations distinguish translation-only software such as DeepL or Linguee from generative AI tools and say using generative AI tools such as ChatGPT for translation is not recommended.
Review: Agent reviewed
Normalized value: health_faculty_translation_only_tools_outside_recommendations_chatgpt_translation_not_recommended
Original evidence
Evidence 1Les logiciels à des fins exclusives de traduction (tels que DeePL ou Linguee) ne sont pas des outils d’IA générative et ne sont donc pas concernés par ces recommandations. À l’opposé, utiliser des outils d’IA générative (tel que ChatGPT) pour la traduction n’est pas recommandé.
Localized display only
Translation-only software such as DeepL or Linguee is not treated as generative AI, while using generative AI tools such as ChatGPT for translation is not recommended.
Ai Tool Treatment
Sorbonne University's CAPSULE resources page lists Compilatio Magister+ with CAS SU access as a resource for plagiarism prevention and detection of AI-generated content.
Review: Agent reviewed
Normalized value: capsule_lists_compilatio_magister_plus_cas_su_plagiarism_and_ai_generated_content_detection
Original evidence
Evidence 1Compilatio Magister + La prévention et la détection du plagiat et des contenus générés par des IA. La solution Compilatio Magister + regroupe un logiciel détecteur de similitudes des ressources pédagogiques, de plagiat syntaxique et de contenus générés par des IA
Localized display only
Compilatio Magister+ is described as supporting prevention and detection of plagiarism and AI-generated content, with a similarity, plagiarism, and AI-generated-content detector.
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
Commission de la formation et de la vie universitaire du conseil academique du 20 juin 2024 - Modalites de controle des connaissances 2024-2025
actesreglementaires.sorbonne-universite.fr
Recommandations d'utilisation de l'intelligence artificielle generative dans le cadre de la recherche
sante.sorbonne-universite.fr
Ressources - capsule.sorbonne-universite
capsule.sorbonne-universite.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.