Brussels, Belgium

Universite libre de Bruxelles

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources4Source languagefrPublic JSON/api/public/v1/universities/universite-libre-de-bruxelles.json

Policy profile

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy presence

No source-backed public AI policy or guidance record is present in this profile.

The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI disclosure

Universite libre de Bruxelles has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Approved tools

Universite libre de Bruxelles has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence78%Evidence1Sources1

Named AI services

Universite libre de Bruxelles has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

4 reviewed evidence-backed public claim

Privacy

ULB's 2025-2026 general study regulations tell students not to disclose to AI personal or confidential data other than their own, and not to implicitly grant AI use rights over copyrighted or confidential productions.

Review: Agent reviewedConfidence94%

Normalized value: student_ai_confidentiality_limit

Original evidence

Evidence 1
l'étudiant veille à la non-divulgation à une IA de données personnelles ou confidentielles autre que celles le concernant

Academic Integrity

ULB's 2025-2026 general study regulations state that student use of personal data contrary to the AI-related confidentiality rules is subject to disciplinary sanction.

Review: Agent reviewedConfidence93%

Normalized value: ai_personal_data_misuse_disciplinary_sanction

Original evidence

Evidence 1
Toute utilisation de données à caractère personnel contraire à ces règles est passible de sanction disciplinaire.

Teaching

ULB describes Academ·IA as its institutional plan to train, sensitize, and equip students, teachers, administrative staff, and researchers around responsible and ethical AI culture.

Review: Agent reviewedConfidence92%

Normalized value: institutional_ai_training_plan

Original evidence

Evidence 1
Ce plan a pour objectif de former, de sensibiliser et d'outiller les étudiant.es, les enseignant.es, le personnel administratif (PATGS) et les chercheur.es

Academic Integrity

ULB's 2024 AI-in-teaching note says that students may not use generative AI to perform the task or demonstrate the competence being assessed unless the teacher explicitly authorizes it.

Review: Agent reviewedConfidence90%

Normalized value: generative_ai_assessment_requires_teacher_authorization

Original evidence

Evidence 1
Les étudiants ne peuvent donc recourir à un tel outil pour effectuer la tâche ou démontrer la compétence sur lesquelles porte l’évaluation concernée. Sauf autorisation explicite par l’enseignant

Candidate claims

0 machine or needs-review claim

Official sources

4 source attribution

Change log

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Corrections

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