Change log

University of Namur

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.

University of Namur currently has 7 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 20, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Namur. 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.

University of Namur combined release diff

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

+14-0
11 # University of Namur AI policy record
2+academic_integrity: For students, unless course objectives or explicit instructor authorization allow it, UNamur proscribes delegating reflective analysis to generative AI, submitting work entirely or mostly generated by AI, and using copied, paraphrased, translated, or AI-generated material without indicating the source.
3+Evidence (fr, 00e1485bbe9d): Sauf si cela fait partie des objectifs du cours (cf. fiche descriptive) ou avec l'autorisation explicite de l'enseignant, les utilisations suivantes sont proscrites par l'institution : délégation de l'analyse réflexive... génération intégrale d'une production... copie textuelle... résumé ou paraphrase... traduction d'un texte sans... mentionner la provenance.
4+privacy: For students, unless course objectives or explicit instructor authorization allow it, UNamur says they cannot introduce non-anonymized or non-pseudonymized personal data into prompts addressed to generative-AI tools.
5+Evidence (fr, 00e1485bbe9d): Sauf si cela fait partie des objectifs du cours (cf. fiche descriptive) ou avec l'autorisation explicite de l'enseignant, l'étudiant, dans son interaction avec l'outil IAGen, ne peut pas : introduire de données à caractère personnel non anonymisées ou non pseudonymisées dans les demandes adressées à l'IAGen (prompt).
6+academic_integrity: For students, UNamur allows some generative-AI uses without referencing when they are not contrary to course objectives, including brainstorming or organizing ideas without content creation, translation or summarization for comprehension, and short language improvement of text written by the student.
7+Evidence (fr, 00e1485bbe9d): Pour autant que cela ne soit pas contraire aux objectifs du cours ou à l'apprentissage de l'étudiant (cf. fiche descriptive), les utilisations suivantes sont permises sans référencement nécessaire : brainstorming ou organisation des idées... traduction intégrale ou résumé d'un texte... traduction ou amélioration d'un passage court.
8+ai_tool_treatment: University of Namur frames generative AI use around five guiding principles: transparency, training, critical reflection, respect for protected materials/personal data/confidential information, and responsibility for final outputs and consequences.
9+Evidence (fr, 553a20ea9ee6): Pour une utilisation raisonnée et responsable de l'IAGen, l'UNamur pose cinq principes directeurs : TRANSPARENCE, FORMATION, RÉFLEXION, RESPECT des matériaux protégés par le copyright, les données à caractère personnel et les informations confidentielles ; RESPONSABILITÉ du produit final.
10+source_status: University of Namur's AI Council produced student-facing generative-AI guidelines and the university says those guidelines will later be adapted for other university member roles.
11+Evidence (fr, 553a20ea9ee6): Le Conseil de l'IA de l'UNamur a produit un document pour donner un cadre clair et guider les étudiants dans l'utilisation de l'IAGen dans leurs activités. Ces lignes de conduites seront déclinées prochainement aux membres de l'Université en fonction de leurs métiers.
12+academic_integrity: For students, UNamur permits use of AI-generated content in work only when it is consistent with course objectives, remains accessory, and is clearly referenced with how it was produced.
13+Evidence (fr, 00e1485bbe9d): Pour autant que cela ne soit pas contraire aux objectifs du cours ou à l'apprentissage de l'étudiant (cf. fiche descriptive), les utilisations suivantes sont permises avec référencement : reproduction d'un contenu généré par une IAGen... en indiquant clairement comment il a été réalisé... tant que ce contenu reste accessoire.
14+teaching: University of Namur says it integrates artificial intelligence into its missions and aims to train students in critical and responsible AI use.
15+Evidence (fr, e1d87f8b7e82): L'UNamur intègre l'intelligence artificielle au coeur de ses missions -recherche, enseignement et service à la société- pour former des étudiants à son usage critique et responsable, développer des recherches innovantes et interdisciplinaires, et mettre son expertise au service des enjeux sociétaux.

Release history

0 public release diffs

Claim changes

7 claim records

academic_integrity

For students, unless course objectives or explicit instructor authorization allow it, UNamur proscribes delegating reflective analysis to generative AI, submitting work entirely or mostly generated by AI, and using copied, paraphrased, translated, or AI-generated material without indicating the source.

Review: Agent reviewedConfidence94%Evidence1Languagesfr

privacy

For students, unless course objectives or explicit instructor authorization allow it, UNamur says they cannot introduce non-anonymized or non-pseudonymized personal data into prompts addressed to generative-AI tools.

Review: Agent reviewedConfidence94%Evidence1Languagesfr

academic_integrity

For students, UNamur allows some generative-AI uses without referencing when they are not contrary to course objectives, including brainstorming or organizing ideas without content creation, translation or summarization for comprehension, and short language improvement of text written by the student.

Review: Agent reviewedConfidence93%Evidence1Languagesfr

ai_tool_treatment

University of Namur frames generative AI use around five guiding principles: transparency, training, critical reflection, respect for protected materials/personal data/confidential information, and responsibility for final outputs and consequences.

Review: Agent reviewedConfidence92%Evidence1Languagesfr

source_status

University of Namur's AI Council produced student-facing generative-AI guidelines and the university says those guidelines will later be adapted for other university member roles.

Review: Agent reviewedConfidence91%Evidence1Languagesfr

academic_integrity

For students, UNamur permits use of AI-generated content in work only when it is consistent with course objectives, remains accessory, and is clearly referenced with how it was produced.

Review: Agent reviewedConfidence91%Evidence1Languagesfr

teaching

University of Namur says it integrates artificial intelligence into its missions and aims to train students in critical and responsible AI use.

Review: Agent reviewedConfidence88%Evidence1Languagesfr

Source snapshots

3 source attributions