Diepenbeek, Belgium

Hasselt University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources5Source languageen, nlPublic JSON/api/public/v1/universities/hasselt-university.json

Policy profile

Coverage score55/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence77%

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

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

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

Hasselt University has 1 source-backed public claim for exams; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence1Sources1

Academic integrity

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

RestrictedMachine candidateConfidence79%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Hasselt University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine 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

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 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

4 reviewed evidence-backed public claim

Academic Integrity

UHasselt's public student AI guidance says students are responsible for submitted work, the work should reflect their own knowledge and skills, and AI use during exams is not allowed unless explicitly permitted.

Review: Agent reviewedConfidence93%

Normalized value: student_responsibility_exam_ai_limit

Original evidence

Evidence 1
Bij UHasselt gelden de volgende twee basisrichtlijnen: 1. Verantwoordelijkheid: Je bent volledig verantwoordelijk voor het werk dat je indient. 2. Eigen competenties: Het ingediende werk moet je eigen kennis en vaardigheden weerspiegelen.

Localized display only

UHasselt states two student AI-use principles: responsibility for submitted work and work reflecting the student's own knowledge and skills.

Source Status

UHasselt publishes a public AI@UHasselt hub and a March 2025 general framework for generative AI that focuses on large language models within education, research, service, and internal organization.

Review: Agent reviewedConfidence92%

Normalized value: public_ai_framework_available

Original evidence

Evidence 1
Dit beleidskader verduidelijkt de visie van Universiteit Hasselt (UHasselt) op het gebruik van artificiële intelligentie (AI) binnen de universitaire context, met een bijzondere nadruk op generatieve AI (genAI) en large language models (LLM's).

Localized display only

The framework explains UHasselt's view on AI use in the university context, with particular emphasis on generative AI and LLMs.

Privacy

UHasselt's AI-tools page recommends using AI tools critically and says highly sensitive or personal information should not be entered even in paid versions; it recommends Gemini Pro for general AI use.

Review: Agent reviewedConfidence90%

Normalized value: ai_tool_safety_and_privacy_caution

Original evidence

Evidence 1
Hoewel je in het overzicht hieronder aanbevelingen van AI-tools vindt, is het belangrijk dat je met deze tools altijd kritisch en doordacht omgaat. In veel gevallen is de betalende licentie veiliger dan de gratis versie, maar ook in de betalende versies is het afgeraden om zeer gevoelige of persoonlijke informatie in te geven.

Localized display only

UHasselt says AI tools should be used critically and thoughtfully, and advises against entering highly sensitive or personal information even in paid versions.

Research

UHasselt's research guidance for generative AI tells researchers to remain responsible, use GenAI transparently, pay attention to IPR and privacy, respect existing regulations, and avoid GenAI for sensitive activities such as peer review.

Review: Agent reviewedConfidence88%

Normalized value: research_genai_responsibility_transparency_privacy

Original evidence

Evidence 1
Researchers are ultimately responsible for the integrity generated by the AI tools. They must be literate about using GenAI, thereby being aware of its limitations and biases.

Localized display only

UHasselt's research guidance says researchers remain responsible for integrity when using AI tools and should understand GenAI limitations and biases.

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

Change log

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

Corrections

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