Policy presence
University of Namur has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Namur, Belgium
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.
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Namur has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Namur has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of Namur has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Namur has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Namur has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Namur has 3 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
University of Namur has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
University of Namur has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Namur has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
University of Namur has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
7 reviewed evidence-backed public claim
Academic Integrity
Normalized value: proscribed_delegated_reflection_integral_generation_unattributed_use
Original evidence
Evidence 1Sauf 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
Normalized value: no_non_anonymized_or_non_pseudonymized_personal_data_in_prompts
Original evidence
Evidence 1Sauf 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
Normalized value: allowed_without_reference_when_not_contrary_course_objectives
Original evidence
Evidence 1Pour 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
Normalized value: five_principles_transparency_training_reflection_respect_responsibility
Original evidence
Evidence 1Pour 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
Normalized value: student_guidelines_current_other_roles_future
Original evidence
Evidence 1Le 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
Normalized value: ai_generated_content_permitted_with_reference_if_accessory
Original evidence
Evidence 1Pour 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
Normalized value: critical_responsible_ai_training
Original evidence
Evidence 1L'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.
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.
3 source attribution
unamur.be
unamur.be
unamur.be
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