Policy presence
Maastricht University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Maastricht, Netherlands
Maastricht University is listed as QS 2026 rank 239. Maastricht University has 9 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Maastricht University is listed as QS 2026 rank 239. Maastricht University has 9 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Maastricht University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/maastricht-university.json. The entity-level confidence is 88%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Maastricht University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Maastricht University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Maastricht University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Maastricht University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Maastricht University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Maastricht University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Maastricht University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Maastricht University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Maastricht University 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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
9 reviewed evidence-backed public claim
Source Status
Normalized value: officially_adopted_policy_framework
Original evidence
Evidence 1Maastricht University has officially adopted a policy framework on Generative Artificial Intelligence (GenAI). This document clarifies UM’s position on GenAI and provides guidelines for its responsible use in education, research, and operations.
Ai Tool Treatment
Normalized value: facilitate_encourage_where_relevant
Original evidence
Evidence 1Rather than prohibiting the technology, we facilitate and encourage its use where relevant in education, research and operations.
Other
Normalized value: comply_with_laws
Original evidence
Evidence 1GenAI is used at all times in compliance with applicable laws and regulations. Where specific laws and regulations are lacking, we act in the spirit of those that do exist.
Teaching
Normalized value: permitted_uses_defined_by_level
Original evidence
Evidence 1Permitted uses of GenAI are clearly defined at every relevant level: activity, course/module, study programme and faculty.
Teaching
Normalized value: assessment_ai_conditions_investigation
Original evidence
Evidence 1These AI systems may only be used under certain mandatory conditions. These conditions must be thoroughly investigated at UM before AI systems can be used to assess students or assist in selection and admission procedures.
Research
Normalized value: researcher_final_accountability
Original evidence
Evidence 1Researchers hold final accountability for the ethical use of GenAI tools in their research and act in accordance with the Netherlands Code of Conduct for Research Integrity, rules on the processing of personal data and all UM codes of conduct and policy.
Research
Normalized value: research_transparency_reference
Original evidence
Evidence 1Researchers are transparent about substantial use of GenAI in their research. This includes clear communication about the use of GenAI with supervisors, collaboration partners and other relevant stakeholders. The use of GenAI should be referenced appropriately by researchers.
Privacy
Normalized value: no_sensitive_data_without_safeguards
Original evidence
Evidence 1GenAI tools are never used to process personal or organisation-sensitive data in the absence of transparency about how these data are used and without safeguarding that all applicable conditions for the use of GenAI have been met.
Academic Integrity
Normalized value: presenting_genai_as_own_dishonesty
Original evidence
Evidence 1Using GenAI to generate content and present it as one’s own constitutes academic dishonesty, akin to plagiarism or fraud.
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.
5 source attribution
maastrichtuniversity.nl
maastrichtuniversity.nl
maastrichtuniversity.nl
maastrichtuniversity.nl
maastrichtuniversity.nl
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