Policy presence
Université Lumière Lyon 2 has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Lyon, France
Université Lumière Lyon 2
Université Lumière Lyon 2 has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 26, 2026.
Université Lumière Lyon 2 AI policy short answer
v1 public contract
Université Lumière Lyon 2 has 6 source-backed AI policy claims from 3 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 26, 2026. Discovery context: Université Lumière Lyon 2 is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Université Lumière Lyon 2 as an agent-reviewed AI policy record last checked on May 26, 2026 and last changed on May 26, 2026. The record contains 6 source-backed claims, including 6 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-lumiere-lyon-2.json. The entity-level confidence is 96%. 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 AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy 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
Université Lumière Lyon 2 has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Université Lumière Lyon 2 has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Université Lumière Lyon 2 has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Université Lumière Lyon 2 has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Université Lumière Lyon 2 has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Université Lumière Lyon 2 has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Université Lumière Lyon 2 has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Université Lumière Lyon 2 has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Université Lumière Lyon 2 has 1 source-backed public claim 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
Université Lumière Lyon 2's règlement intérieur prohibits using an artificial-intelligence tool in university work without explicit mention, and prohibits presenting AI-generated content as personal human work, under disciplinary proceedings.
Review: Agent reviewed
Normalized value: AI-generated content must be explicitly mentioned; presenting it as personal human work is prohibited.
Evidence originale
Evidence 1Les travaux universitaires, qu’ils émanent des étudiantes et étudiants ou des enseignantes et enseignants, et enseignantes-chercheuses et enseignants-chercheurs, doivent revêtir un caractère personnel... l’exigence d’un travail personnel interdit... de recourir à un outil d’intelligence artificielle lors de la production de travaux sans en faire mention explicitement. Il est en effet interdit de présenter les contenus générés par un outil d’intelligence artificielle comme un travail personnel et une œuvre humaine, sous peine de poursuites disciplinaires.
Affichage localise only
University work must be personal; using an AI tool without explicit mention and presenting AI-generated content as personal human work is prohibited under disciplinary proceedings.
Academic Integrity
Lyon 2 SPS guidance says AI should not do assessed work in place of the student; AI assistance may be possible only when it respects university ethics and the specific instructions for the exam or assignment.
Review: Agent reviewed
Normalized value: AI assistance is conditional on academic ethics and assignment/exam instructions; AI should not replace the student's work.
Evidence originale
Evidence 1Dans le cadre du contrôle des connaissances et compétences, l'IA ne devrait jamais "faire à la place" de l'étudiant... Une IAG pourrait être utilisée comme assistance à la production... à condition que cela ne contrevienne ni à la déontologie universitaire... ni aux règles spécifiques de l'examen.
Affichage localise only
For assessment, AI should never do the work instead of the student; it may be used as assistance only if it respects university ethics and exam-specific rules.
Ai Tool Treatment
Lyon 2 SPS guidance warns that generative-AI text detectors have limited reliability, provide only a degree of presumption, and cannot identify a source like similarity detectors, making their results unusable in appeals.
Review: Agent reviewed
Normalized value: AI-detection outputs are framed as unreliable and not sufficient disciplinary proof.
Evidence originale
Evidence 1La fiabilité des détecteurs de texte généré par IAG est limitée, ils ne donnent qu'un degré de présomption et, contrairement aux détecteurs de similitude, ne peuvent retrouver la source, ce qui rend leur résultats inopposables en cas de recours.
Affichage localise only
AI-generated text detectors are described as limited, presumptive, unable to find a source, and unusable in appeals.
Teaching
Lyon 2 SPS guidance recommends that instructors explicitly state expected conditions for student work, including obligations, permissions, recommendations, prohibitions, whether generative AI may be used, and how any use should be signaled.
Review: Agent reviewed
Normalized value: Instructors are guided to clarify AI-use conditions and disclosure expectations for student work.
Evidence originale
Evidence 1Expliciter, pour toute production à réaliser par les étudiantes et étudiants, les conditions de réalisation attendues (obligations, permissions, recommandations, interdictions), notamment en ce qui concerne l’usage des IAG... Préciser notamment si le recours à une IAG... est permis et sous quelle forme ce recours doit être signalé.
Affichage localise only
Instructors are advised to make expected conditions explicit for student work, including whether generative AI is allowed and how its use should be signaled.
Academic Integrity
Lyon 2 SPS guidance tells students to follow instructor instructions for citing AI-generated text; if no instruction is provided, it suggests noting the software publisher, software name, and initial prompt.
Review: Agent reviewed
Normalized value: AI-generated text citation should follow instructor instructions, or identify the tool publisher, tool name, and initial prompt when no instruction exists.
Evidence originale
Evidence 1Comment citer un texte produit par une IA ? Reportez-vous aux consignes données par votre enseignante ou enseignant. À défaut, donnez en note de bas de page ou de fin de document le nom de l’éditeur du logiciel, le nom du logiciel, le prompt initial soumis au logiciel.
Affichage localise only
For AI-generated text, students are told to follow instructor instructions; otherwise, note the software publisher, tool name, and initial prompt.
Privacy
Lyon 2 SPS guidance cautions that public generative-AI tools often give little regard to copyright and personal data, including data found online and data uploaded by users.
Review: Agent reviewed
Normalized value: Public generative AI tools are flagged for copyright and personal-data risks.
Evidence originale
Evidence 1Les IAG grand public semblent faire peu de cas du respect des droits d’auteurs et des données personnelles (par l’utilisation peu regardante des données présentes sur le net et des données chargées par les utilisateurs).
Affichage localise only
Public generative AI tools are cautioned as often giving little regard to copyright and personal data, including data uploaded by users.
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
Enseigner et apprendre à l'ère de l'IA
moodle-ouvert.univ-lyon2.fr
IA génératives : quels repères pour l’enseignement à l’ULL2 ?
moodle-ouvert.univ-lyon2.fr
Règlement intérieur de l'Université
univ-lyon2.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.