Policy presence
Hasselt University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Diepenbeek, Belgium
Hasselt University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
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.
Hasselt University has 1 source-backed public claim for exams; deterministic analysis status: restricted.
Hasselt University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Hasselt University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
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.
Hasselt University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
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.
Hasselt University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: student_responsibility_exam_ai_limit
Original evidence
Evidence 1Bij 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
Normalized value: public_ai_framework_available
Original evidence
Evidence 1Dit 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
Normalized value: ai_tool_safety_and_privacy_caution
Original evidence
Evidence 1Hoewel 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
Normalized value: research_genai_responsibility_transparency_privacy
Original evidence
Evidence 1Researchers 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.
0 machine or needs-review claim
5 source attribution
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