Namur, Belgium

University of Namur

University of Namur has 7 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 7 reviewed claims. Last checked May 20, 2026.

University of Namur AI policy short answer

v1 public contract

University of Namur has 7 source-backed AI policy claims from 3 official source attributions, including 7 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 20, 2026. Discovery context: University of Namur is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Namur as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 7 source-backed claims, including 7 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/university-of-namur.json. The entity-level confidence is 94%. 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 coverage7 reviewedSource languagefrPublic JSON/api/public/v1/universities/university-of-namur.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Source status claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official 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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

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

University of Namur has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Approved tools

University of Namur has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

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

University of Namur has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

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

7 reviewed evidence-backed public claim

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%

Normalized value: proscribed_delegated_reflection_integral_generation_unattributed_use

Original evidence

Evidence 1
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.

Localized display only

Unless course objectives or explicit instructor authorization allow it, UNamur proscribes delegating reflective analysis, fully generated work, and unattributed copied, paraphrased, translated, or AI-generated material.

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%

Normalized value: no_non_anonymized_or_non_pseudonymized_personal_data_in_prompts

Original evidence

Evidence 1
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).

Localized display only

Unless course objectives or explicit instructor authorization allow it, students cannot introduce non-anonymized or non-pseudonymized personal data in prompts to generative-AI tools.

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%

Normalized value: allowed_without_reference_when_not_contrary_course_objectives

Original evidence

Evidence 1
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.

Localized display only

If not contrary to course objectives or learning, UNamur permits some uses without referencing: brainstorming or organizing ideas, translation/summary for comprehension, and short language improvement.

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%

Normalized value: five_principles_transparency_training_reflection_respect_responsibility

Original evidence

Evidence 1
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.

Localized display only

For responsible generative-AI use, UNamur lists five principles: transparency, training, critical reflection, respect for copyright/personal/confidential data, and responsibility for the final product.

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%

Normalized value: student_guidelines_current_other_roles_future

Original evidence

Evidence 1
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.

Localized display only

UNamur's AI Council produced a document to guide students in using generative AI, and the guidance will later be adapted to other university member roles.

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%

Normalized value: ai_generated_content_permitted_with_reference_if_accessory

Original evidence

Evidence 1
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.

Localized display only

UNamur permits reproduction of AI-generated content with referencing when it is not contrary to course objectives and remains accessory, with clear indication of how it was made.

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%

Normalized value: critical_responsible_ai_training

Original evidence

Evidence 1
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.

Localized display only

UNamur says it integrates AI into research, teaching, and service to society to train students in critical and responsible use.

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 20, 2026Last changedMay 20, 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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