privacy
UniGPT terms distinguish local and external models: local models may process confidential V3 information but not strictly confidential V4 information, while external models may receive only public V1 information.
Review: Agent reviewed
Change log
University of Münster
Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Change summary
Current public record freshness and review state.
University of Münster currently has 7 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.
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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Diff categories
Semantic classification for this release diff.
Release diff
Unified tracker diff generated from the previous and current public release snapshots.
No tracker claim/evidence/source changes are recorded for this university in the latest public release.
Claim changes
7 claim records
privacy
The UniGPT privacy page states that user-generated chat data is not used to train models; logs and metrics are automatically deleted after 14 days, and other data is automatically deleted after six months without login.
Review: Agent reviewed
ai_tool_treatment
University of Munster provides UniGPT as a chatbot service for research, teaching, and administration, offering on-premise models in the Uni Cloud and external models; the service page says on-premise model data remains within the university.
Review: Agent reviewed
academic_integrity
University of Munster central guidance states that whether generative AI systems may be used for examination work depends on the assessed competency and is set by examination regulations and examiners; for work where expression, translation, or code creation is itself assessed, use is generally not permissible.
Review: Agent reviewed
research
University of Munster central guidance says it orients itself to the DFG statement on generative models for text and image creation in research, including disclosure of whether, which, why, and how extensively generative models were used when results are made publicly accessible.
Review: Agent reviewed
academic_integrity
For Faculty 06, the dean's office recommends that generative AI content in examination work be clearly cited, that an explanation of tool use be added, and that full prompts and AI responses be appended; instructors may adapt or reduce these documentation and citation duties for individual exams or courses.
Review: Agent reviewed
academic_integrity
The University and State Library Munster advises users to ask instructors or their university before using generative AI for academic work and warns that AI use in examination documents can be evaluated as attempted deception.
Review: Agent reviewed
Source snapshots
6 source attributions
Chancen und Risiken des Einsatzes von Kunstlicher Intelligenz (KI)
official_guidance Tracker checked at May 16, 2026, 2:03 PM
CIT - UniGPT
official_guidance Tracker checked at May 16, 2026, 2:03 PM
CIT - UniGPT Datenschutzerklarung
official_guidance Tracker checked at May 16, 2026, 2:04 PM
CIT - UniGPT Nutzungsbedingungen
official_guidance Tracker checked at May 16, 2026, 2:04 PM
ULB-LOTSE: ChatGPT & Co
official_guidance Tracker checked at May 16, 2026, 2:03 PM
Umgang mit KI
official_guidance Tracker checked at May 16, 2026, 2:04 PM