Policy presence
Université Paris-Saclay has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Gif-sur-Yvette, France
Université Paris-Saclay
Université Paris-Saclay is listed as QS 2026 rank =70. Université Paris-Saclay has 5 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-Saclay is listed as QS 2026 rank =70. Université Paris-Saclay has 5 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
Université Paris-Saclay has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Université Paris-Saclay has 3 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
Université Paris-Saclay has 5 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Université Paris-Saclay has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
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 Paris-Saclay has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Université Paris-Saclay has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Université Paris-Saclay 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 Paris-Saclay's 2025-2026 first-cycle exam rules say that, for Licence professionnelle, Licence, and Licence double-diplôme students covered by the rules, use of ChatGPT or another AI tool must be explicitly mentioned when it is not prohibited, and failure to mention AI as a source will be sanctioned.
Review: Agent reviewed
Normalized value: first_cycle_ai_use_explicit_source_disclosure_required_when_not_prohibited_non_disclosure_sanctioned
Original evidence
Evidence 1Les règles présentées dans ce document s'appliquent à tous les étudiants inscrits en Licence professionnelle, Licence et Licence double-diplôme de l'Université Paris-Saclay. L'utilisation de ChatGPT ou tout autre outil ayant recours à l'IA (Intelligence Artificielle) devra être mentionnée de façon explicite (quand elle n'est pas interdite), comme n'importe quel emprunt ou citation d'une source externe. Le non-respect de la mention de l'IA comme source se verra sanctionné.
Localized display only
The rules apply to Licence professionnelle, Licence, and Licence double-diplôme students; ChatGPT or other AI use must be explicitly mentioned when not prohibited, and failure to mention AI as a source will be sanctioned.
Academic Integrity
Université Paris-Saclay's 2025-2026 master exam rules say that use of ChatGPT or another AI tool must be explicitly mentioned when it is not prohibited, like any external source borrowing or citation, and failure to mention AI as a source will be sanctioned.
Review: Agent reviewed
Normalized value: master_ai_use_explicit_source_disclosure_required_when_not_prohibited_non_disclosure_sanctioned
Original evidence
Evidence 1Règlement des études, MCC et charte des examens des formations de master de l’Université Paris-Saclay 2025-2026. L’utilisation de ChatGPT ou tout autre outil ayant recours à l’IA (Intelligence Artificielle) devra être mentionnée de façon explicite (quand elle n’est pas interdite), comme n’importe quel emprunt ou citation d’une source externe. Le non-respect de la mention de l’IA comme source se verra sanctionné.
Localized display only
For master formations, ChatGPT or other AI use must be explicitly mentioned when not prohibited, like any external-source borrowing or citation, and failure to mention AI as a source will be sanctioned.
Teaching
Université Paris-Saclay's official IAG working-group article says the group aims to familiarize teacher-researchers and students with generative AI and orient them toward good practices in teaching and research.
Review: Agent reviewed
Normalized value: iag_working_group_acculturation_good_practices_teaching_research
Original evidence
Evidence 1Ce groupe de travail a pour un double objectif d'acculturer les enseignants-chercheurs et étudiants et d'orienter vers de bonnes pratiques de l'Intelligence artificielle générative (IAG) dans l'enseignement et la recherche.
Localized display only
The working group has the dual objective of familiarizing teacher-researchers and students with generative AI and orienting them toward good practices in teaching and research.
Teaching
The Université Paris-Saclay IAG working-group article describes ongoing reflections on student competencies at the end of first and second cycles, the academic dissertation in the generative-AI era, and how generative AI should be integrated or controlled in university work.
Review: Agent reviewed
Normalized value: iag_reflections_student_competencies_memoire_academic_work_integration_control
Original evidence
Evidence 1Les réflexions en cours portent notamment sur : Les compétences attendues des étudiants en fin de premiers et seconds cycles L’évolution du concept de mémoire académique à l’ère de l’IA générative La manière dont l’IA générative doit être intégrée ou contrôlée dans les travaux universitaires
Localized display only
Ongoing reflections include expected student competencies at the end of first and second cycles, the academic dissertation in the generative-AI era, and how generative AI should be integrated or controlled in university work.
Teaching
In the Graduate School Droit context, the Université Paris-Saclay IAG working-group article says a guide of good practices and evaluation support for law teacher-researchers is being drafted.
Review: Agent reviewed
Normalized value: graduate_school_droit_iag_good_practices_evaluation_guide_in_drafting
Original evidence
Evidence 1Le groupe de travail mène une réflexion sur les compétences d'un futur juriste dans ce nouveau contexte d'Intelligence artificielle générative et sur leurs évaluations. Un guide de « bonnes pratiques » et d’aide à l’évaluation destiné aux enseignants-chercheurs en Droit est en cours de rédaction.
Localized display only
The working group is reflecting on future jurist competencies and assessment in the context of generative AI, and a guide of good practices and evaluation support for law teacher-researchers is being drafted.
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
Groupe de travail Intelligence artificielle générative (IAG)
universite-paris-saclay.fr
Règlement des études, MCC et charte des examens des formations de 1er cycle de l'Université Paris-Saclay 2025-2026
faculte-sciences-sport.universite-paris-saclay.fr
Règlement des études, MCC et charte des examens des formations de master de l'Université Paris-Saclay 2025-2026
faculte-sciences-sport.universite-paris-saclay.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.