public-release-20260715-005
Dibandingkan dengan public-release-20260714-002.
Universität Heidelberg public-release-20260715-005 perbezaan
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
Log perubahan
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Kesegaran rekod awam semasa dan keadaan semakan.
Universität Heidelberg currently has 7 source-backed claim records and 5 official source attributions. Latest tracked changed date: 19 Jul 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Halaman ini menggabungkan semua perbezaan pelepasan awam untuk Universität Heidelberg. Snapshot pelepasan individu kekal boleh diakses dari URL khusus pelepasan mereka.
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.
Tuntutan diekstrak baharu adalah penambahan penjejak dan tidak semestinya diterbitkan baru-baru ini oleh universiti. Perubahan snapshot sumber menunjukkan perubahan hesh untuk URL sumber yang sama dan bukan merupakan perubahan dasar secara langsung.
Klasifikasi semantik untuk perbezaan keluaran ini.
Perbezaan penjejak bersatu dijana daripada semua snapshot pelepasan awam untuk universiti ini.
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
1 perbezaan pelepasan awam
Dibandingkan dengan public-release-20260714-002.
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
7 rekod Tuntut
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 Jul 2026, 10:59 PTG
official_guidance Tracker checked at 13 Mei 2026, 1:01 PTG
official_guidance Tracker checked at 27 Jul 2026, 2:40 PG
official_pdf Tracker checked at 13 Mei 2026, 1:00 PTG
official_guidance Tracker checked at 13 Mei 2026, 1:01 PTG