University AI Policy Tracker

Dossiers ouverts et fondes sur des preuves sur les politiques IA universitaires.

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Change log

Université de Rennes

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 18, 2026Last changedMay 18, 2026Claims3Sources1Release records0
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

Université de Rennes currently has 3 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 18, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Université de Rennes. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker 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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Université de Rennes combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+6-0
11 # Université de Rennes AI policy record
2+academic_integrity: In assessments where generative AI use is authorized, Université de Rennes' AI charter says students must declare the use of generative AI in the relevant passages and prohibits submitting AI-generated output without saying so in place of the requested work.
3+Evidence (fr, a625127dd3be): En tant qu'étudiant, dans le cadre d'une évaluation, lorsque l'usage est autorisé, déclarer l'utilisation de l'IAg dans les passages concernés.
4+security_review: Université de Rennes' 2025 internal regulations state that the precautionary principle applies to generative AI tools and prohibit using a non-validated generative AI tool.
5+Evidence (fr, a625127dd3be): Le principe de précaution s'applique ici : il est interdit d'utiliser un outil d'IAg non validé.
6+teaching: For teaching missions, Université de Rennes' AI charter says AI must not substitute for a teacher's act without supervision and verification, and AI tasks affecting student assessment or admission must be human verified in a demonstrable way.
7+Evidence (fr, a625127dd3be): Toutes les tâches permettant l'évaluation des étudiants ou leur admission automatisée par IA doit obligatoirement faire l'objet d'une vérification humaine qui doit le cas échéant être démontrable.

Release history

0 public release diffs

Claim changes

3 claim records

academic_integrity

In assessments where generative AI use is authorized, Université de Rennes' AI charter says students must declare the use of generative AI in the relevant passages and prohibits submitting AI-generated output without saying so in place of the requested work.

Review: Agent reviewedConfidence95%Evidence1Languagesfr

security_review

Université de Rennes' 2025 internal regulations state that the precautionary principle applies to generative AI tools and prohibit using a non-validated generative AI tool.

Review: Agent reviewedConfidence94%Evidence1Languagesfr

teaching

For teaching missions, Université de Rennes' AI charter says AI must not substitute for a teacher's act without supervision and verification, and AI tasks affecting student assessment or admission must be human verified in a demonstrable way.

Review: Agent reviewedConfidence93%Evidence1Languagesfr

Source snapshots

1 source attribution