University AI Policy Tracker
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Maastricht, Netherlands

Maastricht University

RankingQS World University Rankings 2026: 239UpdatedMay 15, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

9 reviewed claims

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

Last checked
May 15, 2026
Last changed
May 15, 2026

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.
Source language
English (en)
Snapshot hash
5fe4d050…
Retrieved
May 15, 2026
Evidence locator
opening summary

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

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Rather than prohibiting the technology, we facilitate and encourage its use where relevant in education, research and operations.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, I. General, point 1

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

Last checked
May 15, 2026
Last changed
May 15, 2026

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.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, I. General, point 2

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

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Permitted uses of GenAI are clearly defined at every relevant level: activity, course/module, study programme and faculty.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, II. Education, point 9

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

Last checked
May 15, 2026
Last changed
May 15, 2026

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.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, II. Education, point 14

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

Last checked
May 15, 2026
Last changed
May 15, 2026

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.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, III. Research, point 1

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

Last checked
May 15, 2026
Last changed
May 15, 2026

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.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, III. Research, point 4

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

Last checked
May 15, 2026
Last changed
May 15, 2026

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.
Source language
English (en)
Snapshot hash
a37c4cac…
Retrieved
May 15, 2026
Evidence locator
Guidelines for using GenAI, IV. Operations, point 1

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

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Using GenAI to generate content and present it as one’s own constitutes academic dishonesty, akin to plagiarism or fraud.
Source language
English (en)
Snapshot hash
2b37432b…
Retrieved
May 15, 2026
Evidence locator
Academic integrity, transparency, and accuracy

Source record

Official sources

5 sources

Record information, JSON & citation
Reviewagent reviewedConfidence88%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "Maastricht University AI Policy Tracker record." Last checked May 15, 2026. https://eduaipolicy.org/universities/maastricht-university

Original university source language remains canonical. This tracker is not an official university statement.

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