Maastricht, Netherlands

Maastricht University

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage9 reviewedSource languageenPublic JSON/api/public/v1/universities/maastricht-university.json

Policy signals in this record

  • Evidence includes Source status claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Other policy claims.
  • Evidence includes Teaching claims.
  • Evidence includes Research claims.
  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims9Reviewed9Candidate0Official sources5

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 score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

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

Privacy and data entry

Maastricht University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence1Sources1

Academic integrity

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

RestrictedMachine candidateConfidence75%Evidence1Sources1

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

9 reviewed evidence-backed public claim

Source Status

Maastricht University has officially adopted a Generative AI policy framework that provides guidelines for responsible use in education, research, and operations.

Review: Agent reviewedConfidence88%

Normalized value: officially_adopted_policy_framework

Original evidence

Evidence 1
Maastricht 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

Maastricht University facilitates and encourages GenAI use where relevant in education, research, and operations rather than prohibiting the technology.

Review: Agent reviewedConfidence88%

Normalized value: facilitate_encourage_where_relevant

Original evidence

Evidence 1
Rather than prohibiting the technology, we facilitate and encourage its use where relevant in education, research and operations.

Other

Maastricht University states that GenAI is used at all times in compliance with applicable laws and regulations.

Review: Agent reviewedConfidence88%

Normalized value: comply_with_laws

Original evidence

Evidence 1
GenAI 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

For education, Maastricht University says permitted GenAI uses are clearly defined at activity, course/module, study programme, and faculty levels.

Review: Agent reviewedConfidence88%

Normalized value: permitted_uses_defined_by_level

Original evidence

Evidence 1
Permitted uses of GenAI are clearly defined at every relevant level: activity, course/module, study programme and faculty.

Teaching

Maastricht University says AI systems for marking/evaluating assessments and selection/admission may be used only under certain mandatory conditions that must be investigated before use.

Review: Agent reviewedConfidence88%

Normalized value: assessment_ai_conditions_investigation

Original evidence

Evidence 1
These 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

For research, Maastricht University says researchers hold final accountability for ethical use of GenAI tools and must act in accordance with research integrity, personal-data, and UM policy rules.

Review: Agent reviewedConfidence88%

Normalized value: researcher_final_accountability

Original evidence

Evidence 1
Researchers 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

For research output, Maastricht University says substantial GenAI use should be communicated transparently and referenced appropriately by researchers.

Review: Agent reviewedConfidence88%

Normalized value: research_transparency_reference

Original evidence

Evidence 1
Researchers 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

For operations, Maastricht University says GenAI tools are never used to process personal or organisation-sensitive data unless transparency and applicable safeguards are in place.

Review: Agent reviewedConfidence88%

Normalized value: no_sensitive_data_without_safeguards

Original evidence

Evidence 1
GenAI 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

Maastricht University warns that using GenAI to generate content and present it as one’s own constitutes academic dishonesty.

Review: Agent reviewedConfidence88%

Normalized value: presenting_genai_as_own_dishonesty

Original evidence

Evidence 1
Using GenAI to generate content and present it as one’s own constitutes academic dishonesty, akin to plagiarism or fraud.

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

5 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.

Back to universities