Tilburg, Netherlands

Tilburg University

Tilburg University is listed as QS 2026 rank =347. Tilburg University has 6 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

Tilburg University is listed as QS 2026 rank =347. Tilburg University has 6 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 Tilburg University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/tilburg-university.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 coverage6 reviewedSource languageenPublic JSON/api/public/v1/universities/tilburg-university.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Security review 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official 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 score75/100Coverage 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

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

Tilburg University has 1 source-backed public claim for coursework; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%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

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

Tilburg University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%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

6 reviewed evidence-backed public claim

Privacy

Tilburg University's Privacy & Security framework says users should not enter personal data, confidential information, or commercially sensitive information into GenAI tools, and should have tools assessed first if they want to process sensitive data with GenAI.

Review: Agent reviewedConfidence94%

Original evidence

Evidence 1
Do not enter personal data, confidential, or commercially sensitive information into GenAI tools. These may be stored or processed by third parties and often do not comply with privacy legislation. This also applies when risk-mitigating features are enabled. Do you want to process sensitive data with GenAI? Then have the tool assessed by your information manager first.

Ai Tool Treatment

Tilburg University's Privacy & Security framework states that GenAI output may contain errors, fabrications, or biases and that generated information should always be verified before being used or shared.

Review: Agent reviewedConfidence93%

Original evidence

Evidence 1
GenAI may contain errors, fabrications, or biases. It is not a search engine that you can use to retrieve or verify facts. Always verify the generated information before using or sharing it. Ultimately, you remain responsible for what happens with the output.

Academic Integrity

For Tilburg School of Humanities and Digital Sciences exams, tests, and assignments, Tilburg University states that AI use is not permitted unless a lecturer explicitly states otherwise.

Review: Agent reviewedConfidence93%

Original evidence

Evidence 1
The use of AI is not permitted unless a lecturer explicitly states otherwise. This applies to exams, tests, and assignments. Therefore, always submit your own work and be careful and transparent in your use of tools.

Privacy

Tilburg University's GenAI guidance says users should adhere to the university Privacy & Data Protection Policy and Information Security Policy and should not use GenAI for illegal or fraudulent purposes.

Review: Agent reviewedConfidence92%

Original evidence

Evidence 1
Comply with the Privacy & Personal Data Protection Policy and the Information Security Policy. Do not use GenAI for illegal or fraudulent purposes.

Security Review

Tilburg University's working-responsibly GenAI guidance says that if confidential or personal information has been shared with GenAI, it should be reported through the Privacy & Security Portal.

Review: Agent reviewedConfidence92%

Original evidence

Evidence 1
If confidential or personal information has been shared with GenAI, please report it via the report button on the Privacy & Security Portal . Timely notification ensures that action can be taken quickly.

Academic Integrity

Tilburg University's TSHD fraud guidance includes submitting work that is partially generated by AI without permission among examples of fraud-related conduct.

Review: Agent reviewedConfidence91%

Original evidence

Evidence 1
This includes, among other things: Plagiarism: copying work (text segments, reasoning, or ideas) from someone else without proper citation. Using unauthorized tools during tests or exams. Manipulating research data. Submitting work that is (partially) generated by AI without permission.

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 16, 2026Last changedMay 16, 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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