University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Hasselt University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 17, 2026Last changedMay 17, 2026Claims4Sources5
University pagePublic JSON

Change summary

Current public record freshness and review state.

Hasselt University currently has 4 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 17, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Hasselt University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # Hasselt University AI policy record
2+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.
3+Evidence (nl, f10f5b18b6b7): 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.
4+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.
5+Evidence (nl, 18e01a161c66): 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).
6+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.
7+Evidence (nl, 76a1e1558fa4): 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.
8+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.
9+Evidence (en, 09a4b88be630): 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.

Claim changes

4 claim records

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%Evidence1Languagesen

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%Evidence1Languagesnl

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%Evidence1Languagesnl

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%Evidence1Languagesnl

Source snapshots

5 source attributions