public-release-20260715-005
Porównanie z public-release-20260714-002.
Friedrich-Alexander-Universität Erlangen-Nürnberg 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.
Friedrich-Alexander-Universität Erlangen-Nürnberg currently has 7 source-backed claim records and 4 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 Friedrich-Alexander-Universität Erlangen-Nürnberg. 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
HAWKI is listed for Friedrich-Alexander-Universität Erlangen-Nürnberg in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
FAU's central exams page states that if AI is not expressly permitted in exams, especially written papers, it is an unauthorized aid and can lead to the exam being failed for deception.
FAU describes its AI-in-teaching guidelines as orientation and inspiration and states that they do not have Satzungscharakter; teaching and exam-related rules remain part of the individual study and examination regulations.
FAU guidance says instructors are responsible for clear AI-use rules in teaching activities, especially exams, and that students must disclose generative AI use according to the relevant course rules.
FAU guidance tells users to choose AI tools with data-protection compliance and not to enter personal, confidential, copyright-protected, or personal data into AI systems.
FAU's AI-in-teaching guidance says examiners must individually determine and announce whether and how AI-supported aids may be used, and students must disclose the aids used.
FAU frames generative AI as support for innovative teaching practices that can strengthen didactic value while preserving academic integrity.
4 source attributions
official_guidance Tracker checked at 15 maj 2026, 18:24
official_guidance Tracker checked at 16 lip 2026, 03:22
official_pdf Tracker checked at 15 maj 2026, 18:26
official_guidance Tracker checked at 15 maj 2026, 18:23