Change log

Université de Lille

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.

Change summary

Current public record freshness and review state.

Université de Lille currently has 5 source-backed claim records and 2 official source attributions. 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 Lille. 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 Lille combined release diff

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

+10-0
11 # Université de Lille AI policy record
2+academic_integrity: Universite de Lille's SIAG charter says presenting content generated by generative AI systems as one's own production is prohibited and that using AI to paraphrase others' content is considered a form of plagiarism.
3+Evidence (fr, 7705f5c3cf54): Fraude et Plagiat : Présenter des contenus générés par SIAG comme sa propre production est interdit. L’utilisation de l’IA pour paraphraser des contenus d’autrui est considéré comme une forme de plagiat, dans la mesure où elle rend complexe l’identification de toute production originale et représente une forme de dissimulation.
4+ai_tool_treatment: Universite de Lille's SIAG charter says any use of generative AI systems in academic work should be clearly indicated, including how, to what extent, and for what objectives AI was used.
5+Evidence (fr, 7705f5c3cf54): Toute utilisation de SIAG dans la production de travaux académiques doit être clairement indiquée. Les utilisateurs doivent spécifier comment et dans quelle mesure l'IAG a été employée et pour quels objectifs.
6+privacy: Universite de Lille's SIAG charter advises users not to transmit sensitive documents or personal data to externally hosted generative AI systems and to check confidentiality policies and GDPR compliance.
7+Evidence (fr, 7705f5c3cf54): Protection des données : Ne pas transmettre de documents sensibles ou des données personnelles à des SIAG hébergés en externe. S’assurer des politiques de confidentialité des outils utilisés avant de les intégrer dans un projet universitaire. S’assurer du respect du Règlement Général de Protection des Données (RGPD).
8+teaching: Universite de Lille's SIAG charter says teachers should specify SIAG-use instructions in their courses, inform students how SIAG use is or is not integrated into learning situations and assessments, and cannot require students to use SIAG tools that need personal data or payment.
9+Evidence (fr, 7705f5c3cf54): Le personnel enseignant ne peut pas obliger les étudiants à utiliser des SIAG nécessitant des données personnelles pour se connecter ou s'inscrire, ou entraînant des coûts dans le cadre de leur formation. Les enseignants doivent spécifier les consignes d’utilisation des SIAG dans leurs cours.
10+source_status: Universite de Lille has an official 2025 charter of good practices for generative AI systems in pedagogical work; an official university page says the charter was finalized in March 2025 and aims to frame SIAG uses responsibly and transparently.
11+Evidence (fr-FR, 53dfd4f2163d): Cette charte vise à encadrer les usages des SIAG dans un esprit de responsabilité, de transparence et de respects des valeurs universitaires, tout en encourageant un apprentissage enrichi et innovant. Face à l’essor rapide des outils d’intelligence artificielle générative, l’université de Lille a choisi d’accompagner les usages plutôt que de les restreindre.

Release history

0 public release diffs

Claim changes

5 claim records

academic_integrity

Universite de Lille's SIAG charter says presenting content generated by generative AI systems as one's own production is prohibited and that using AI to paraphrase others' content is considered a form of plagiarism.

Review: Agent reviewedConfidence96%Evidence1Languagesfr

ai_tool_treatment

Universite de Lille's SIAG charter says any use of generative AI systems in academic work should be clearly indicated, including how, to what extent, and for what objectives AI was used.

Review: Agent reviewedConfidence95%Evidence1Languagesfr

privacy

Universite de Lille's SIAG charter advises users not to transmit sensitive documents or personal data to externally hosted generative AI systems and to check confidentiality policies and GDPR compliance.

Review: Agent reviewedConfidence95%Evidence1Languagesfr

teaching

Universite de Lille's SIAG charter says teachers should specify SIAG-use instructions in their courses, inform students how SIAG use is or is not integrated into learning situations and assessments, and cannot require students to use SIAG tools that need personal data or payment.

Review: Agent reviewedConfidence95%Evidence1Languagesfr

source_status

Universite de Lille has an official 2025 charter of good practices for generative AI systems in pedagogical work; an official university page says the charter was finalized in March 2025 and aims to frame SIAG uses responsibly and transparently.

Review: Agent reviewedConfidence94%Evidence1Languagesfr-FR

Source snapshots

2 source attributions