Policy presence
Université PSL has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Paris, France
Université PSL
Université PSL is listed as QS 2026 rank 28. Université PSL has 5 source-backed AI policy claim records from 2 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 PSL is listed as QS 2026 rank 28. Université PSL has 5 source-backed AI policy claim records from 2 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
Université PSL has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Université PSL has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Université PSL has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Université PSL has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
Université PSL has 4 source-backed public claims 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
Université PSL has 2 source-backed public claims for named ai services; deterministic analysis status: required.
Teaching guidance
Université PSL has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Université PSL has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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
5 reviewed evidence-backed public claim
Academic Integrity
Université PSL academic regulations state that, when an instructor authorizes the use of AI-based tools such as ChatGPT, that use must be explicitly disclosed like a source citation; failure to disclose AI use is considered plagiarism and sanctioned as such.
Review: Agent reviewed
Normalized value: authorized_ai_use_must_be_disclosed_or_plagiarism
Original evidence
Evidence 1Lorsque celui-ci est autorisé par l’enseignante ou l’enseignant, le recours à des outils basés sur l’intelligence artificielle (IA), tels que ChatGPT, doit être signalé explicitement (de la même manière que toute référence ou citation de source). Ne pas signaler l’utilisation de l’intelligence artificielle est considéré comme un acte de plagiat et sera sanctionné comme tel.
Academic Integrity
PSL-affiliated guidance recommends researchers be transparent about AI use by indicating the tool used, its version, and the context of use, and notes that the prompt and result can also be documented.
Review: Agent reviewed
Normalized value: disclose_ai_tool_version_context_in_research
Original evidence
Evidence 1Être transparent dans son utilisation de l’IA?: si une IA générative est utilisée, il faut indiquer l’outil utilisé, sa version et le cadre de cette utilisation. Le prompt et le résultat peuvent également être documentés. Il faut toutefois garder à l’esprit la nature aléatoire des IA, qui rend difficile la reproductibilité de la recherche.
Academic Integrity
PSL-affiliated guidance states that generative AI tools cannot be considered co-authors of scientific work, and users retain full responsibility for AI-generated content, codes, images, and texts.
Review: Agent reviewed
Normalized value: ai_not_coauthor_user_responsible
Original evidence
Evidence 1Conserver la responsabilité des productions scientifiques issues des IA?: il faut garder une approche critique de ces outils, connaître leurs biais et leurs limites (hallucinations, approximation), ne pas les considérer comme des co-auteurs et ne pas les utiliser pour créer des matériaux scientifiques, qui pourraient être falsifiés.
Privacy
PSL-affiliated guidance advises that personal data should not be shared with third parties when generative AI is used, and that generated text should be checked so it does not constitute plagiarism or contain personal data.
Review: Agent reviewed
Normalized value: do_not_share_personal_data_check_ai_output_for_plagiarism_or_personal_data
Original evidence
Evidence 1Outre les questions de confidentialité des productions scientifiques, les données personnelles n’ont pas vocation à être partagées avec des tiers. Dans le cadre des réponses obtenues, il faut vérifier que le texte généré ne constitue pas un plagiat ou ne contient pas de données personnelles.
Other
PSL-affiliated guidance notes that generative AI can undermine research reproducibility because its codes and algorithms may be unknown and change regularly, and because probabilistic generation can produce variable responses.
Review: Agent reviewed
Normalized value: generative_ai_can_undermine_research_reproducibility
Original evidence
Evidence 1La reproductibilité de la recherche est un principe de base de l’intégrité scientifique. Or ce principe est mis à mal par l’utilisation de l’IA. D’une part, les IA génératives utilisent parfois des codes et des algorithmes qui ne sont pas toujours connus et qui connaissent des changements réguliers. Dans ces cas-là, il est impossible de documenter sa recherche pour permettre de la reproduire. D’autre part, au-delà de cette opacité, le caractère probabiliste de la génération conduit à une variabilité des réponses, qui peuvent être différentes d’une interrogation reconduite à différents moments.
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
2 source attribution
Règlement de la scolarité de l'Université PSL
static.psl.eu
Utiliser l'intelligence artificielle dans sa recherche : des recommandations pour le respect de l'intégrité scientifique
bu.dauphine.psl.eu
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.