Policy presence
Université Grenoble Alpes has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Grenoble, France
Université Grenoble Alpes
Université Grenoble Alpes is listed as QS 2026 rank 321. Université Grenoble Alpes has 6 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Université Grenoble Alpes is listed as QS 2026 rank 321. Université Grenoble Alpes has 6 source-backed AI policy claim records from 1 official source attribution. 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 Grenoble Alpes as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universite-grenoble-alpes.json. The entity-level confidence is 95%. 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 Research claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the 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
Université Grenoble Alpes has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Université Grenoble Alpes has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Université Grenoble Alpes has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Université Grenoble Alpes has 1 source-backed public claim for privacy and data entry; deterministic analysis status: required.
Academic integrity
Université Grenoble Alpes has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Université Grenoble Alpes has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Université Grenoble Alpes has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
Université Grenoble Alpes has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Université Grenoble Alpes 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
6 reviewed evidence-backed public claim
Academic Integrity
UGA's AI reference framework says students using generative AI must mention the use of generative AI and its name, identify the parts generated by or with AI, and cite sources correctly to avoid plagiarism.
Review: Agent reviewed
Normalized value: Students must disclose generative AI use, name the tool, identify AI-assisted parts, and cite sources
Original evidence
Evidence 1Les etudiantes et etudiants sont tenus de mentionner le recours a une IA generative, ainsi que le nom de cette derniere, et d'identifier les parties generees par l'IA ou avec l'aide de l'IA. Si une source n'est pas correctement citee, il s'agit de plagiat.
Localized display only
Students must disclose generative AI use, name the tool, identify AI-generated or AI-assisted parts, and cite sources correctly.
Academic Integrity
UGA's AI reference framework says use of tools mobilizing AI is prohibited by principle for knowledge assessment unless explicitly authorized, with study regulations and assessment modalities specifying the AI-use framework.
Review: Agent reviewed
Normalized value: AI tools prohibited by default in assessment unless explicitly authorized
Original evidence
Evidence 1Controle des connaissances : Le recours a des outils mobilisant l'IA est interdit par principe sauf si son utilisation est explicitement autorisee. Les reglements des etudes et modalites de controles de connaissance precisent le cadre de l'utilisation de l'IA.
Localized display only
For knowledge assessment, AI tools are prohibited by default unless explicitly authorized; study regulations and assessment modalities define the framework.
Research
UGA's AI reference framework says researchers using generative AI must verify whether generated ideas come from existing sources, add appropriate references, mention the use and name of the generative AI, and identify parts generated by or with AI.
Review: Agent reviewed
Normalized value: Researchers must verify sources, add references, disclose generative AI use and name, and identify AI-generated or AI-assisted parts
Original evidence
Evidence 1En cas d'usage des outils de l'IA generative, ils doivent verifier si les idees generees par ces derniers proviennent de sources existantes et ajouter les references appropriees le cas echeant. Les chercheurs et chercheuses sont tenus de mentionner le recours a une IA generative, ainsi que le nom de cette derniere, et d'identifier les parties generees par l'IA ou avec l'aide de l'IA.
Localized display only
For generative AI use, researchers must verify generated ideas against existing sources, add references where appropriate, disclose the tool, and identify AI-generated or AI-assisted parts.
Privacy
UGA's AI reference framework says that before transmitting personal data, users must ensure GDPR and European rules are respected, and any transmission of professional data must be approved by the institution after analysis.
Review: Agent reviewed
Normalized value: Personal-data transmission requires GDPR/EU compliance checks; professional-data transmission requires institutional approval after analysis
Original evidence
Evidence 1Avant toute transmission de donnees personnelles, s'assurer que les obligations en matiere de protection des donnees personnelles (RGPD) et les regles europeennes soient respectees. Les memes precautions s'appliquent en matiere de donnees professionnelles. Toute transmission de donnees professionnelle doit etre approuvee par l'etablissement apres analyse.
Localized display only
Before transmitting personal data, GDPR and European rules must be respected; professional-data transmission requires institutional approval after analysis.
Teaching
Outside knowledge assessment, UGA's AI reference framework leaves AI-use instructions to the teacher and teaching team, while stating that an AI tool must not substitute for the student's exercise of the skills used in the assignment.
Review: Agent reviewed
Normalized value: Instructor or teaching team defines AI-use instructions outside assessment
Original evidence
Evidence 1En dehors du controle de connaissances, il revient a l'enseignant et a l'equipe pedagogique de definir les consignes d'usage de l'IA. Un outil d'IA ne saurait se substituer a l'etudiant pour mettre en oeuvre les competences mobilisees dans un exercice donne.
Localized display only
Outside assessment, the teacher and teaching team define AI-use instructions; AI must not substitute for the student's exercise of assignment skills.
Research
UGA's AI reference framework strongly discourages transmitting unpublished or unpatented research work to a generative AI tool, for example for translation or summarization.
Review: Agent reviewed
Normalized value: Strongly discourages sending unprotected research work to generative AI tools
Original evidence
Evidence 1Protection des resultats : Il est fortement deconseille de transmettre ses travaux non-proteges par une publication ou un brevet a un outil d'IA generative, par exemple pour les traduire ou les resumer.
Localized display only
UGA strongly discourages transmitting work not protected by a publication or patent to a generative AI tool, including for translation or summary.
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
1 source attribution
Cadre general de l'Universite Grenoble Alpes concernant l'apport et les usages recommandes de l'intelligence artificielle pour conduire et realiser ses missions
univ-grenoble-alpes.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.