Leuven, Belgium

KU Leuven

KU Leuven is listed as QS 2026 rank 60. KU Leuven has 8 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

KU Leuven is listed as QS 2026 rank 60. KU Leuven has 8 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.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims8Reviewed8Candidate0Official 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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

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

KU Leuven has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Security and procurement

KU Leuven has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

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

8 reviewed evidence-backed public claim

Ai Tool Treatment

KU Leuven permits and encourages responsible, critical use of generative AI in teaching and research, framing it as a complement to critical thinking and professional expertise rather than a replacement.

Review: Agent reviewedConfidence90%

Normalized value: responsible_critical_genai_use_allowed_complement_not_replacement

Original evidence

Evidence 1
KU Leuven is open to the use of generative AI (GenAI) in teaching and research, and encourages students, lecturers, researchers and staff to use this technology in a responsible and critical manner. Generative AI is a powerful tool. We use it consciously and purposefully: as a complement to, not a replacement for, critical thinking and professional expertise.

Academic Integrity

KU Leuven student guidance says students remain fully responsible for what they submit and must ensure assignments allow teaching staff to assess their acquired competences.

Review: Agent reviewedConfidence90%

Normalized value: students_responsible_for_submission_and_assessability

Original evidence

Evidence 1
2 basic principles apply for students : A student has full responsibility for what they submit; You make sure that the assignment allows the teaching staff to evaluate which competences you have acquired as a student.

Academic Integrity

KU Leuven student guidance says clear misuse of GenAI, where output is largely generated by GenAI and the student is not transparent about tool use, can be considered an irregularity under Article 84 of the Education and Examination Regulations.

Review: Agent reviewedConfidence90%

Normalized value: nontransparent_genai_misuse_can_be_oer_article_84_irregularity

Original evidence

Evidence 1
A clear misuse of GenAI - where any output was largely generated by GenAI and you were not transparent about using the tool - can be considered an irregularity under Article 84 of the Education and Examination Regulations (OER).

Teaching

KU Leuven teaching guidance expects teaching staff to clearly inform students whether GenAI may be used for assignments and expects students to be transparent about GenAI use so assessment can be fair and correct.

Review: Agent reviewedConfidence90%

Normalized value: teaching_staff_inform_students_students_transparent_for_fair_assessment

Original evidence

Evidence 1
Teaching staff are expected to clearly inform students about whether or not they are allowed to use GenAI for assignments such as visual, writing and programming assignments. Students are expected to be transparent about the use of GenAI so that their knowledge, understanding and skills can be assessed fairly and correctly.

Security Review

KU Leuven identifies Copilot logged in with a KU Leuven account as its recommended GenAI tool, citing contractual data protection, Enterprise technical security, and Microsoft not using entered data for further training.

Review: Agent reviewedConfidence90%

Normalized value: copilot_logged_in_recommended_tool_enterprise_data_protection

Original evidence

Evidence 1
Copilot is the preferred tool at KU Leuven. KU Leuven has a contractual agreement with Microsoft that also covers data protection. In addition, our Enterprise environment provides the best technical security, Microsoft does not use entered data for further training, and ICTS ensures the correct settings for all logged-in users.

Privacy

KU Leuven guidance says strictly confidential data should use only Copilot logged in with a KU Leuven account, and confidential or strictly confidential data require a security check if another AI tool is needed.

Review: Agent reviewedConfidence90%

Normalized value: strictly_confidential_data_only_copilot_confidential_other_tools_security_check

Original evidence

Evidence 1
For (strictly) confidential data: use only Copilot logged in with your KU Leuven account. For other data: choose consciously, not automatically. For non-confidential data, you may use other AI tools. For confidential or strictly confidential data, a security check of the tool is mandatory.

Privacy

KU Leuven safe-use guidance warns users to be careful with unsupported AI tools and not to enter personal data, confidential information, IP-sensitive data, or copyrighted material.

Review: Agent reviewedConfidence88%

Normalized value: unsupported_ai_tools_do_not_enter_personal_confidential_ip_or_copyrighted_data

Original evidence

Evidence 1
Online, you will find an awful lot of AI tools and more appear every day. Some of those tools are completely unreliable. Therefore, be extra careful when using unsupported tools and when sharing your data. Never fill in personal data, confidential (company) information like IP sensitive data and/or copyrighted material

Research

KU Leuven research guidance says GenAI use needs to be reported transparently whenever new output is generated in scientific publications, project applications, or doctoral theses.

Review: Agent reviewedConfidence88%

Normalized value: research_genai_transparency_publications_applications_doctoral_theses

Original evidence

Evidence 1
Transparency about the use of GenAI in scientific publications, project applications and doctoral theses The use of GenAI needs to be reported in a transparent manner whenever new output is generated.

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 12, 2026Last changedMay 12, 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.

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