Change log

Maastricht University

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Change summary

Current public record freshness and review state.

Maastricht University currently has 9 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 15, 2026.

This tracker 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.

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Maastricht University current policy evidence

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+18-0
11 # Maastricht University AI policy record
2+source_status: Maastricht University has officially adopted a Generative AI policy framework that provides guidelines for responsible use in education, research, and operations.
3+Evidence (en, 5fe4d0503eb4): 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.
4+ai_tool_treatment: Maastricht University facilitates and encourages GenAI use where relevant in education, research, and operations rather than prohibiting the technology.
5+Evidence (en, a37c4cacf9ce): Rather than prohibiting the technology, we facilitate and encourage its use where relevant in education, research and operations.
6+other: Maastricht University states that GenAI is used at all times in compliance with applicable laws and regulations.
7+Evidence (en, a37c4cacf9ce): 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.
8+teaching: For education, Maastricht University says permitted GenAI uses are clearly defined at activity, course/module, study programme, and faculty levels.
9+Evidence (en, a37c4cacf9ce): Permitted uses of GenAI are clearly defined at every relevant level: activity, course/module, study programme and faculty.
10+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.
11+Evidence (en, a37c4cacf9ce): 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.
12+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.
13+Evidence (en, a37c4cacf9ce): 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.
14+research: For research output, Maastricht University says substantial GenAI use should be communicated transparently and referenced appropriately by researchers.
15+Evidence (en, a37c4cacf9ce): 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.
16+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.
17+Evidence (en, a37c4cacf9ce): 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.
18+academic_integrity: Maastricht University warns that using GenAI to generate content and present it as one’s own constitutes academic dishonesty.
19+Evidence (en, 2b37432bee63): Using GenAI to generate content and present it as one’s own constitutes academic dishonesty, akin to plagiarism or fraud.

Claim changes

9 claim records

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%Evidence1Languagesen

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%Evidence1Languagesen

other

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

Review: Agent reviewedConfidence88%Evidence1Languagesen

teaching

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

Review: Agent reviewedConfidence88%Evidence1Languagesen

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%Evidence1Languagesen

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%Evidence1Languagesen

research

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

Review: Agent reviewedConfidence88%Evidence1Languagesen

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%Evidence1Languagesen

academic_integrity

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

Review: Agent reviewedConfidence88%Evidence1Languagesen

Source snapshots

5 source attributions