public-release-20260715-005
与 public-release-20260714-002 相比。
大学 of Cologne 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 Cologne currently has 9 source-backed claim records and 3 official source attributions. Latest tracked changed date: 2026年7月19日. Latest tracker diff: 0 comparable policy-text changes, 4 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 Cologne。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
OpenAI commercial models via KI:Connect is listed for University of Cologne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
KI:Connect / KI-Inferenz.nrw (formerly OSKI.nrw) is listed for University of Cologne in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
Google models via KI:Connect is listed for University of Cologne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Anthropic models via KI:Connect is listed for University of Cologne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
On its central teaching page, the University of Cologne says its current teaching-and-learning guidelines for generative AI are to address and explore AI-supported writing proactively and to use AI systems with maximum transparency.
The University of Cologne Justitiariat says current AI text detector software is not sufficient evidence of deception by itself; additional circumstances are needed to prove a deception act.
For term papers, theses, take-home exams, papers, and similar work, the University of Cologne Justitiariat says AI use is generally possible if independent work remains, and examiners may require disclosure of both the AI use and the related prompts depending on the use.
The University of Cologne Justitiariat says AI use in examinations is not objectionable under examination law when the student still produces their own independent work.
The University of Cologne Justitiariat says an exam or significant parts of an exam fully generated by AI are not an independent performance and are prohibited as deception.
3 source attributions
official_guidance Tracker checked at 2026年7月16日 03:59
official_guidance Tracker checked at 2026年5月16日 03:06
official_guidance Tracker checked at 2026年5月16日 03:06