public-release-20260715-005
Porównanie z public-release-20260714-002.
Universität Heidelberg public-release-20260715-005 różnica
Porównywanie public-release-20260714-002 z public-release-20260715-005.
Dziennik zmian
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Aktualna świeżość publicznych rekordów i stan weryfikacji.
Universität Heidelberg currently has 7 source-backed claim records and 5 official source attributions. Latest tracked changed date: 19 lip 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Ta strona łączy wszystkie publiczne diffy wydań dla Universität Heidelberg. Indywidualne migawki wersji pozostają dostępne pod adresami URL specyficznymi dla danej wersji.
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.
Właśnie wyodrębnione twierdzenia to dodania do trackeru i niekoniecznie są nowo opublikowane przez uniwersytet. Zmiany w migawce źródła pokazują zmiany sum kontrolnych dla tego samego URL źródłowego i same w sobie nie stanowią zmian polityki.
Klasyfikacja semantyczna dla tej różnicy wersji.
Zjednoczona różnica trackerów wygenerowana ze wszystkich publicznych migawek wydań dla tej uczelni.
Porównywanie public-release-20260714-002 z public-release-20260715-005.
1 różnica publicznej publikacji
Porównanie z public-release-20260714-002.
Porównywanie public-release-20260714-002 z public-release-20260715-005.
7 Twierdzenie rekordów
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 15 lip 2026, 22:59
official_guidance Tracker checked at 13 maj 2026, 13:01
official_guidance Tracker checked at 27 lip 2026, 02:40
official_pdf Tracker checked at 13 maj 2026, 13:00
official_guidance Tracker checked at 13 maj 2026, 13:01