Lyon, France

École Normale Supérieure de Lyon

École Normale Supérieure de Lyon is listed as QS 2026 rank 205. École Normale Supérieure de Lyon has 3 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

École Normale Supérieure de Lyon is listed as QS 2026 rank 205. École Normale Supérieure de Lyon has 3 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.

Citation-ready summary

As of this public record, University AI Policy Tracker lists École Normale Supérieure de Lyon as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 3 source-backed claims, including 3 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/ecole-normale-superieure-de-lyon.json. The entity-level confidence is 82%. 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.

Claim coverage3 reviewedSource languagefrPublic JSON/api/public/v1/universities/ecole-normale-superieure-de-lyon.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources3

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.

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence66%

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

École Normale Supérieure de Lyon has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence68%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

École Normale Supérieure de Lyon has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence68%Evidence1Sources1

Approved tools

École Normale Supérieure de Lyon has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence61%Evidence1Sources1

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

3 reviewed evidence-backed public claim

Teaching

ENS Lyon's IFÉ Édurevue n°154 frames AI, especially generative AI, as an education topic involving regulatory reference points, ethical questions, and teacher training; this is an education-watch synthesis, not a binding institution-wide student AI-use policy.

Review: Agent reviewedConfidence82%

Normalized value: education-watch synthesis on AI and generative AI in education

Original evidence

Evidence 1
Dans l'Édurevue 154, nous interrogeons en quoi l’IA, et en particulier l’IAG, constitue un vecteur de changements et de nouveaux enjeux en éducation. Tout d’abord, il s’agit d’en définir les repères conceptuels, techniques et règlementaires, notamment dans le domaine éducatif.

Localized display only

Édurevue 154 asks how AI, especially generative AI, creates changes and new issues in education, including conceptual, technical, and regulatory reference points.

Academic Integrity

The IFÉ Édurevue n°154 discusses generative AI in relation to plagiarism, cheating, assessment design, and academic integrity; it cites examples of other universities' AI charters but does not establish an ENS Lyon AI-use charter.

Review: Agent reviewedConfidence80%

Normalized value: analysis of plagiarism, assessment, and academic integrity issues raised by generative AI

Original evidence

Evidence 1
Les IAG interrogent également la place et les modalités évaluatives ; elles soulèvent à cet égard des enjeux éthiques liés à l’intégrité et l’honnêteté. Ces systèmes font beaucoup parler d’eux sur la question du plagiat et de la triche.

Localized display only

The Édurevue states that generative AI raises ethical issues for assessment, integrity, honesty, plagiarism, and cheating.

Teaching

The ENS-hosted CultureSciences Physique site has a teaching-resource item on generative AI, teaching, and evaluation that points to external resources; the page is a resource pointer and should not be treated as ENS Lyon institutional policy.

Review: Agent reviewedConfidence72%

Normalized value: ENS-hosted teaching resource pointer on generative AI and assessment

Original evidence

Evidence 1
Il met en ligne de nombreux outils sur l'IA pour l'enseignement et l'évaluation dans le contexte scolaire : Positionnement et réflexion sur les activités d'évaluation ; Corpus pédagogique sur l’IA générative et l’enseignement.

Localized display only

The page points to tools for AI in teaching and evaluation in school contexts, including evaluation-activity reflection and a pedagogical corpus on generative AI and teaching.

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

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.

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

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.

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