Alzette, Luxembourg

University of Luxembourg

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2Source languageenPublic JSON/api/public/v1/universities/university-of-luxembourg.json

Policy profile

Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

University of Luxembourg has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Named AI services

University of Luxembourg has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

AI tools

Derived tool records1

Microsoft Copilot

University of Luxembourg

Tool
Microsoft Copilot
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed

Evidence-backed claims

5 reviewed evidence-backed public claim

Academic Integrity

University of Luxembourg guidance says generative AI use should be disclosed according to each course and assessment, with course guidelines serving as the primary point of reference.

Review: Agent reviewedConfidence91%

Normalized value: genai_disclosure_course_specific

Original evidence

Evidence 1
The use of Generative AI must be disclosed in accordance with the specific guidelines communicated for each course and assessment.

Ai Tool Treatment

University of Luxembourg guidance identifies Microsoft Copilot as the official supported chatbot and notes that UniGPT access is currently limited to University staff.

Review: Agent reviewedConfidence90%

Normalized value: microsoft_copilot_supported_unigpt_staff

Original evidence

Evidence 1
The University provides Microsoft Copilot as its official supported chatbot. Students are encouraged to prioritise this tool, as it is supported within the University environment and offers stronger institutional safeguards than other public platforms. In February 2026, the University of Luxembourg launched UniGPT... At present, access to UniGPT is limited to University staff.

Academic Integrity

University of Luxembourg guidance lists non-permitted AI practices, including undisclosed submission of AI output as one's own work, using AI to replace the central assessed intellectual contribution, fabricating data or citations, and trying to conceal AI involvement.

Review: Agent reviewedConfidence89%

Normalized value: non_permitted_ai_practices

Original evidence

Evidence 1
Unless explicitly authorised by the course guidelines, the following uses are non-permitted and may constitute academic misconduct: Submitting text, code, images, or other outputs generated fully or partly by AI as if they were entirely one's own work... Generating or altering data to create fake datasets, results, quotes, references, or evidence... Citing non-existent sources supplied by AI... Running outputs through multiple AI tools to conceal AI involvement.

Academic Integrity

University of Luxembourg assessment guidance says chatbot use in assignments should align with academic integrity and scientific judgement, and students should disclose where and how the chatbot influenced the text.

Review: Agent reviewedConfidence87%

Normalized value: chatbot_assignment_disclosure

Original evidence

Evidence 1
If you decide to use a chatbot for an assignment, be sure to adhere to the principles of academic integrity. This means properly citing the chatbot as a source and disclosing in which parts of the text it has been used and how it has influenced the text.

Academic Integrity

University of Luxembourg assessment guidance says a substantiated suspicion of unauthorized chatbot use triggers disciplinary procedure for academic fraud and plagiarism.

Review: Agent reviewedConfidence86%

Normalized value: unauthorized_chatbot_use_disciplinary_procedure

Original evidence

Evidence 1
A substantiated suspicion of unauthorized chatbot use in an assignment will trigger the disciplinary procedure for academic fraud and plagiarism.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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