Maastricht, Netherlands

Maastricht University

Last checkedMay 15, 2026Last changedMay 15, 2026Review: Agent reviewedConfidence88%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage9 reviewedEvidence-backed claims9Reviewed9Candidate0Official sources5Source languageenPublic JSON/api/public/v1/universities/maastricht-university.json

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

Policy presence

Maastricht University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence75%Evidence2Sources2

Claim claim-um-genai-framework-adopted Claim claim-um-research-accountability

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

Coursework

Maastricht University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence4Sources2

Claim claim-um-ai-assessment-high-risk Claim claim-um-education-permitted-uses-defined Claim claim-um-genai-encouraged-where-relevant

Exams

Maastricht University has 4 source-backed public claims for exams; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence4Sources2

Claim claim-um-ai-assessment-high-risk Claim claim-um-education-permitted-uses-defined Claim claim-um-genai-encouraged-where-relevant

Privacy and data entry

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

RestrictedMachine candidateConfidence75%Evidence1Sources1

Claim claim-um-sensitive-data-restriction

Academic integrity

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

RestrictedMachine candidateConfidence75%Evidence1Sources1

Claim claim-um-precautions-academic-dishonesty

Approved tools

Maastricht University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence75%Evidence1Sources1

Claim claim-um-genai-encouraged-where-relevant

Named AI services

Maastricht University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence2Sources1

Claim claim-um-genai-encouraged-where-relevant Claim claim-um-sensitive-data-restriction

Teaching guidance

Maastricht University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence2Sources1

Claim claim-um-ai-assessment-high-risk Claim claim-um-education-permitted-uses-defined

Research guidance

Maastricht University has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence4Sources2

Claim claim-um-genai-encouraged-where-relevant Claim claim-um-genai-framework-adopted Claim claim-um-research-accountability

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

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

9 reviewed evidence-backed public claim

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: Policy framework on Generative AI officially published

Source language: English (en)
Snapshot hash: 5fe4d0503eb4913b175b47cced0ff0f187d0bb60750182e4c33d580b6ca691e7
Retrieved: May 15, 2026
Evidence locator: opening summary

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, I. General, point 1

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, I. General, point 2

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, II. Education, point 9

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, II. Education, point 14

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, III. Research, point 1

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, III. Research, point 4

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: Maastricht University Policy Framework on Generative AI

Source language: English (en)
Snapshot hash: a37c4cacf9ceeef12380663c9753e9c8b530f1df95756fc969dddd0a5d01e574
Retrieved: May 15, 2026
Evidence locator: Guidelines for using GenAI, IV. Operations, point 1

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: Responsible use of GenAI: risks, precautions, and ethical considerations

Source language: English (en)
Snapshot hash: 2b37432bee639362f0c1e0e3477ba961e8c989a686715e8d82ebfe6c6436e2b5
Retrieved: May 15, 2026
Evidence locator: Academic integrity, transparency, and accuracy

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

GenAI for students

maastrichtuniversity.nl

Source URL: https://www.maastrichtuniversity.nl/genai-students
Snapshot hash: 868e14aa8af8683b1e0a68473353f44eede14432eb20260cae15dcec4cf95897

GenAI resources for educators and students

maastrichtuniversity.nl

Source URL: https://www.maastrichtuniversity.nl/genai-resources-educators-and-students
Snapshot hash: b417899bc8104b8f2ca9a10bcd9ad295e40ba211d480d3659bc02922f4499c72