Policy presence
Vrije Universiteit Brussel (VUB) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Brussels, Belgium
Vrije Universiteit Brussel (VUB)
Vrije Universiteit Brussel (VUB) is listed as QS 2026 rank =294. Vrije Universiteit Brussel (VUB) has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Vrije Universiteit Brussel (VUB) is listed as QS 2026 rank =294. Vrije Universiteit Brussel (VUB) has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Vrije Universiteit Brussel (VUB) as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 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/vrije-universiteit-brussel-vub.json. The entity-level confidence is 96%. 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.
Policy signals in this record
- Evidence includes Research claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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
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.
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.
Exams
Vrije Universiteit Brussel (VUB) has 2 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Vrije Universiteit Brussel (VUB) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
Vrije Universiteit Brussel (VUB) has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
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.
Named AI services
Vrije Universiteit Brussel (VUB) has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
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.
Research guidance
Vrije Universiteit Brussel (VUB) has 4 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
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
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 reviewed
Normalized value: research_ai_use_transparency_required
Original evidence
Evidence 1Researchers 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 reviewed
Normalized value: generative_ai_without_original_sources_irregularity
Original evidence
Evidence 1Any 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 reviewed
Normalized value: research_guidance_scope_not_education
Original evidence
Evidence 1The 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 reviewed
Normalized value: research_ai_use_supported_with_risk_warnings
Original evidence
Evidence 1The 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 reviewed
Normalized value: research_ai_no_personal_data_input
Original evidence
Evidence 1Researchers 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
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
AI Guidelines
vub.be
Education and Examination Regulations 2025-2026
vub.be
Responsible use of artificial intelligence for research purposes
vub.be
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.
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.