public-release-20260715-005
与 public-release-20260714-002 相比。
大学 of Münster public-release-20260715-005 差异
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
变更日志
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
当前公共记录的新鲜度与审核状态。
University of Münster currently has 9 source-backed claim records and 7 official source attributions. Latest tracked changed date: 2026年7月19日. Latest tracker diff: 0 comparable policy-text changes, 2 newly extracted claims, 0 source snapshot changes.
此页面汇总了所有针对的公开版本差异记录 University of Münster。各个版本的发布快照仍可通过其特定发布的 URL 访问。
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.
新提取的主张是追踪器的新增项,不一定是大学新发布的。来源快照变更显示了同一来源 URL 的哈希值变化,这本身并不代表政策发生了变化。
此版本差异的语义分类。
由该大学的所有公开发布快照生成的统一追踪器差异。
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
1 公开发布差异
与 public-release-20260714-002 相比。
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
9 声明 条记录
uniGPT internal models is listed for University of Münster in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
uniGPT is listed for University of Münster in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
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.
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.
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.
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.
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.
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.
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.
7 source attributions
official_guidance Tracker checked at 2026年5月16日 14:03
official_guidance Tracker checked at 2026年5月16日 14:03
official_guidance Tracker checked at 2026年5月16日 14:04
official_guidance Tracker checked at 2026年5月16日 14:04
official_guidance Tracker checked at 2026年5月16日 14:03
official_guidance Tracker checked at 2026年5月16日 14:04
official_guidance Tracker checked at 2026年7月16日 06:08