public-release-20260715-005
Compared with public-release-20260714-002.
Universität Heidelberg public-release-20260715-005 diff
Comparing public-release-20260714-002 to public-release-20260715-005.
Change log
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Current public record freshness and review state.
Universität Heidelberg currently has 7 source-backed claim records and 5 official source attributions. Latest tracked changed date: Jul 18, 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
This page combines all public release diffs for Universität Heidelberg. Individual release snapshots remain available from their release-specific URLs.
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.
Semantic classification for this release diff.
Unified tracker diff generated from all public release snapshots for this university.
Comparing public-release-20260714-002 to public-release-20260715-005.
1 public release diff
Compared with public-release-20260714-002.
Comparing public-release-20260714-002 to public-release-20260715-005.
7 claim records
YoKI is listed for Universität Heidelberg in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: self hosted system.
For study work, Heidelberg University requires students to submit an independence and AI-use declaration that discloses AI tool use and includes an overview of the tools used and their purposes.
For study and teaching at Heidelberg University, AI and language models such as ChatGPT or DeepL are generally allowed only within rules set by examiners or instructors, and the independent character of the student's work must be preserved.
Heidelberg University's AI guideline advises instructors and students not to enter sensitive, personal, confidential, or copyrighted text into AI systems that could store or process it outside Heidelberg University infrastructure.
The Heidelberg AI guideline says instructors are asked to design AI use according to learning goals and inform students about permitted and prohibited AI applications.
For doctoral dissertations, Heidelberg Graduate Academy guidance requires AI tool use to be disclosed with when, where, why, and to what extent it was used, and treats AI tools as assistive instruments rather than substitutes for independent intellectual work.
Heidelberg University's computing centre says it develops and hosts its own AI infrastructure and provides the YoKI platform so university members can choose among several large language models.
5 source attributions
official_guidance Tracker checked at Jul 15, 2026, 10:59 PM
official_guidance Tracker checked at May 13, 2026, 1:01 PM
official_guidance Tracker checked at May 13, 2026, 1:00 PM
official_pdf Tracker checked at May 13, 2026, 1:00 PM
official_guidance Tracker checked at May 13, 2026, 1:01 PM