Brussels, Belgium

Vrije Universiteit Brussel (VUB)

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources3Source languageenPublic JSON/api/public/v1/universities/vrije-universiteit-brussel-vub.json

Policy profile

Coverage score55/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence81%

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coursework

No source-backed public claim about coursework AI use is present in this profile.

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

Vrije Universiteit Brussel (VUB) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Academic integrity

Vrije Universiteit Brussel (VUB) has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Vrije Universiteit Brussel (VUB) has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

5 reviewed evidence-backed public claim

Research

VUB's research AI guidelines say researchers must provide the greatest possible degree of transparency on AI tool use in scientific activities.

Review: Agent reviewedConfidence96%

Normalized value: research_ai_use_transparency_required

Original evidence

Evidence 1
Researchers must provide the greatest possible degree of transparency on the use of AI tools in their scientific activities. This means that the way AI tools are used often needs to be described in detail in the Materials & Methods section and/or Supplementary Data, including prompts, output, name and version of the AI tool.

Academic Integrity

VUB's 2025-2026 Education and Examination Regulations classify as an irregularity fraud involving statements or texts produced by generative AI applications without reference to original sources.

Review: Agent reviewedConfidence96%

Normalized value: generative_ai_without_original_sources_irregularity

Original evidence

Evidence 1
Any form of fraud that constitutes a breach of scientific integrity, including the use of statements or texts produced by generative AI applications without reference to original sources, or the simulation or falsification of research data, is deemed an irregularity as referred to in this article.

Research

VUB's public AI guidelines are scoped to generative AI use in research processes and explicitly state that they do not apply to education.

Review: Agent reviewedConfidence95%

Normalized value: research_guidance_scope_not_education

Original evidence

Evidence 1
The purpose of these guidelines is to assist researchers in the appropriate use of generative AI in their day-to-day research activities. They are applicable to use of generative AI in research processes. They do not apply to education.

Research

For research processes, VUB says it supports and encourages researchers' use of AI tools while also warning about limitations and risks.

Review: Agent reviewedConfidence94%

Normalized value: research_ai_use_supported_with_risk_warnings

Original evidence

Evidence 1
The VUB supports and encourages the use of AI tools by researchers. Our university would also like to point out to researchers the limitations and risks that the use of AI tools in research processes can entail.

Privacy

VUB's research AI guidelines say researchers should not enter personal data into AI tools.

Review: Agent reviewedConfidence94%

Normalized value: research_ai_no_personal_data_input

Original evidence

Evidence 1
Researchers serve not to enter the following data in AI tools : o Personal data: data that can (directly or indirectly) lead to the identification of persons

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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