Wageningen, Netherlands

Wageningen University & Research

Wageningen University & Research is listed as QS 2026 rank =153. Wageningen University & Research has 7 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Wageningen University & Research is listed as QS 2026 rank =153. Wageningen University & Research has 7 source-backed AI policy claim records from 6 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 Wageningen University & Research as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/wageningen-university-and-research.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.

Claim coverage7 reviewedSource languageenPublic JSON/api/public/v1/universities/wageningen-university-and-research.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • Evidence includes Source status claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the 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 claims7Reviewed7Candidate0Official sources6

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 score80/100Coverage 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.

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

Wageningen University & Research has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%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

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

7 reviewed evidence-backed public claim

Academic Integrity

The Wageningen University Examining Board rules treat AI-created ready-made assignment content as an irregularity that may lead to suspicion of fraud unless AI use is explicitly allowed in the assignment description and adequately documented.

Review: Agent reviewedConfidence96%

Normalized value: unauthorized ready made ai assignment content may be fraud suspicion

Original evidence

Evidence 1
Any use of artificial intelligence (AI) to create ready-made content of an assignment is considered an irregularity that may lead to suspicion of fraud, unless the use of AI is explicitly allowed in the assignment description and the use of AI has been documented adequately.

Localized display only

The Examining Board rules treat unauthorized ready-made AI assignment content as an irregularity that may lead to suspicion of fraud.

Privacy

WUR's student GenAI rules warn that content fed into external GenAI tools may be stored indefinitely and tell students never to put others' personal data, intellectual-property-infringing information, or sensitive or confidential research data into a public GenAI tool.

Review: Agent reviewedConfidence95%

Normalized value: no personal ip sensitive confidential data in public genai tools

Original evidence

Evidence 1
Anything that you feed into external GenAI tools like ChatGPT may be stored by the company indefinitely and might be used in unspecified ways. Never put (personal) data of others, information that infringes on intellectual property rights or sensitive or confidential (research) data into a chatbot or any other public GenAI tool.

Localized display only

The GenAI rules warn about external GenAI storage and prohibit entering others' personal data, IP-infringing information, or sensitive/confidential research data into public GenAI tools.

Academic Integrity

WUR's student GenAI rules tell students to check the course guide for whether and how GenAI is permitted; if the guide has no information, using GenAI to generate assignment content is not allowed and may be irregularity or fraud, including for theses.

Review: Agent reviewedConfidence94%

Normalized value: genai assignment content requires course guide permission

Original evidence

Evidence 1
Always check your course guide in Brightspace to understand whether, and to what extent, GenAI is permitted in your coursework. If there is no information in your course guide, using GenAI to generate the content of your assignments is not allowed and can be considered as an irregularity or even fraud. This also applies for theses; seek guidance from your lecturer or supervisor.

Localized display only

The GenAI rules require students to check the course guide and say GenAI-generated assignment content is not allowed when the course guide is silent.

Academic Integrity

WUR's student GenAI rules say students are never allowed to submit work entirely generated by GenAI as their own or fabricate research data, and they must be transparent about GenAI's role in submitted work.

Review: Agent reviewedConfidence94%

Normalized value: no entirely genai work as own; disclose genai role

Original evidence

Evidence 1
You are never allowed to submit work entirely generated by GenAI as your own or fabricate research data. Doing so constitutes academic fraud. When using GenAI tools, be transparent about their role in your work. You are ultimately responsible for the content you submit and for the accuracy and integrity of your work.

Localized display only

The GenAI rules prohibit submitting wholly GenAI-generated work as one's own and require transparency about GenAI's role.

Research

Wageningen University's MSc Thesis Course Guide says AI is in principle allowed for brainstorming, text feedback, code/script development, literature searching, and transcription, but only under conditions including skill support rather than replacement, student accountability, acknowledgement/documentation, data restrictions, copyright respect, and verification of code.

Review: Agent reviewedConfidence93%

Normalized value: msc thesis ai allowed use cases with conditions

Original evidence

Evidence 1
In principle, the use of AI is allowed as/for: Sparring partner / Brainstorming; Feedback tool for textual improvement; Data processing script development; Literature searching; Transcription. Under the conditions that the use of AI may only be in support of the development of these skills and not a replacement of these skills; students remain accountable; and use must be acknowledged or documented.

Localized display only

The MSc thesis guide lists permitted AI use cases and attaches conditions around skill support, accountability, acknowledgement/documentation, data, copyright, literature searching, and code verification.

Source Status

Wageningen University's 2025-2026 Student Charter page lists Rules and guidelines for student use of GenAI as a code-of-conduct resource and says the charter comprises student rights and obligations.

Review: Agent reviewedConfidence90%

Normalized value: student charter links genai rules as student rights and obligations resource

Original evidence

Evidence 1
The Student Charter 2025-2026 comprises the rights and obligations of Wageningen University students. The codes of conduct table lists Rules and guidelines for student use of GenAI and describes it as a description of the rules and guidelines for student use of GenAI in education.

Localized display only

The Student Charter page frames the charter as student rights and obligations and links the GenAI student rules/guidelines as a code-of-conduct resource.

Research

WUR Library guidance says AI use should be documented, AI should not be cited as a source or author, publisher policies should be checked for writing and publishing, and peer reviewers should not upload non-published manuscripts into externally hosted tools.

Review: Agent reviewedConfidence88%

Normalized value: library research ai documentation publisher policy peer review confidentiality

Original evidence

Evidence 1
It is important to always document your use of AI. In addition, do not cite AI as if it were a source or an author. WUR Library urges you to be transparent in your use of AI tools and to always check a publisher's policy before including AI-generated content in your publication. For confidentiality and proprietary reasons, WUR Library advises reviewers never to upload a non-published manuscript into any externally hosted tool.

Localized display only

The WUR Library guide gives research-oriented AI documentation, authorship/source, publisher-policy, and peer-review confidentiality guidance.

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

6 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 14, 2026Last changedMay 14, 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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