public-release-20260715-005
Comparé à public-release-20260714-002.
différentiel Friedrich-Alexander-Universität Erlangen-Nürnberg public-release-20260715-005
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
Journal des modifications
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Actualité des dossiers publics et état d'examen actuel.
Friedrich-Alexander-Universität Erlangen-Nürnberg currently has 7 source-backed claim records and 4 official source attributions. Latest tracked changed date: 19 juil. 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Cette page combine toutes les différences de publication publique pour Friedrich-Alexander-Universität Erlangen-Nürnberg. Les instantanés des versions individuelles restent disponibles via leurs URL spécifiques à la version.
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.
Les affirmations récemment extraites sont des ajouts au suivi et ne sont pas nécessairement de nouvelles publications de l'université. Les changements d'instantané source montrent des variations de hachage pour la même URL source et ne constituent pas en eux-mêmes des changements de politique.
Classification sémantique pour cette différence de version.
Diffusion unifiée du suivi générée à partir de toutes les captures instantanées de version publique pour cette université.
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
1 diff de publication publique
Comparé à public-release-20260714-002.
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
7 Affirmation enregistrements
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 mai 2026, 18:24
official_guidance Tracker checked at 16 juil. 2026, 03:22
official_pdf Tracker checked at 15 mai 2026, 18:26
official_guidance Tracker checked at 15 mai 2026, 18:23