Policy presence
Wageningen University & Research has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Wageningen, Netherlands
Wageningen University & Research has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Wageningen University & Research has 4 source-backed public claims for ai disclosure; deterministic analysis status: required.
Wageningen University & Research has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Wageningen University & Research has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Wageningen University & Research has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Wageningen University & Research has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
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.
Wageningen University & Research has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
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.
Wageningen University & Research has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
7 reviewed evidence-backed public claim
Academic Integrity
Normalized value: unauthorized ready made ai assignment content may be fraud suspicion
Original evidence
Evidence 1Any 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.
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The Examining Board rules treat unauthorized ready-made AI assignment content as an irregularity that may lead to suspicion of fraud.
Privacy
Normalized value: no personal ip sensitive confidential data in public genai tools
Original evidence
Evidence 1Anything 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.
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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
Normalized value: genai assignment content requires course guide permission
Original evidence
Evidence 1Always 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.
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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
Normalized value: no entirely genai work as own; disclose genai role
Original evidence
Evidence 1You 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.
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The GenAI rules prohibit submitting wholly GenAI-generated work as one's own and require transparency about GenAI's role.
Research
Normalized value: msc thesis ai allowed use cases with conditions
Original evidence
Evidence 1In 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.
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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
Normalized value: student charter links genai rules as student rights and obligations resource
Original evidence
Evidence 1The 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.
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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
Normalized value: library research ai documentation publisher policy peer review confidentiality
Original evidence
Evidence 1It 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.
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The WUR Library guide gives research-oriented AI documentation, authorship/source, publisher-policy, and peer-review confidentiality guidance.
0 machine or needs-review claim
6 source attribution
support.wur.nl
support.wur.nl
wur-studentsupport.screenstepslive.com
support.wur.nl
support.wur.nl
support.wur.nl