Nijmegen, Netherlands

Radboud University

Radboud University is listed as QS 2026 rank 279. Radboud University 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

Radboud University is listed as QS 2026 rank 279. Radboud University 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 Radboud University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 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/radboud-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 coverage5 reviewedSource languageenPublic JSON/api/public/v1/universities/radboud-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Named AI services detected in public claims: ChatGPT, Microsoft Copilot, Gemini.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official 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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

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

Radboud University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Academic integrity

Radboud University has 1 source-backed public claim for academic integrity; deterministic analysis status: allowed.

AllowedMachine candidateConfidence80%Evidence1Sources1

Approved tools

Radboud University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

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

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

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

Academic Integrity

Radboud University says students may use ChatGPT or other AI tools during their studies only with lecturer approval and when they mention that they used it.

Review: Agent reviewedConfidence94%

Normalized value: ai_tools_require_lecturer_approval_and_disclosure

Original evidence

Evidence 1
This means that you may only use ChatGPT or other AI tools during your studies when you have lecturer’s approval and when you mention that you have used it.

Privacy

Radboud University advises users not to input sensitive or critical business information or personal data when using AI, and says not to share personal data without consent.

Review: Agent reviewedConfidence92%

Normalized value: do_not_input_sensitive_or_personal_data_without_consent

Original evidence

Evidence 1
In addition, we advise that you do not input sensitive or critical business information or personal data when using AI. In any case, do not share personal data without consent.

Ai Tool Treatment

Radboud University requests that staff and students who wish to use AI choose Copilot Chat.

Review: Agent reviewedConfidence91%

Normalized value: copilot_chat_preferred

Original evidence

Evidence 1
At Radboud University, the AI assistant Copilot Chat is available: an AI assistant that prioritises data security. We therefore request that staff and students who wish to use AI choose Copilot Chat.

Teaching

Radboud University's lecturer guidance says lecturers have responsibility to help students use tools such as ChatGPT responsibly and point out risks.

Review: Agent reviewedConfidence84%

Normalized value: lecturers_help_students_use_ai_responsibly

Original evidence

Evidence 1
Ultimately, the responsibility for the use of tools such as ChatGPT lies with the student themselves, but lecturers do have the responsibility to help students deal with this in a responsible manner and to point out the risks.

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 15, 2026Last changedMay 15, 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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