public-release-20260715-005
Comparado con public-release-20260714-002.
Friedrich-Alexander-Universität Erlangen-Nürnberg public-release-20260715-005 diferencias
Comparando public-release-20260714-002 con public-release-20260715-005.
Registro de cambios
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Estado actual de actualización y revisión del registro público.
Friedrich-Alexander-Universität Erlangen-Nürnberg currently has 7 source-backed claim records and 4 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.
Esta página combina todas las diferencias de versiones públicas para Friedrich-Alexander-Universität Erlangen-Nürnberg. Las instantáneas individuales de lanzamiento siguen disponibles desde sus URL específicas del lanzamiento.
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.
Las afirmaciones extraídas recientemente son adiciones al seguimiento y no necesariamente han sido publicadas por la universidad. Los cambios en las instantáneas de origen muestran cambios de hash para la misma URL de origen y no constituyen por sí mismos cambios en la política.
Clasificación semántica para esta diferencia de versión.
Diferencia del seguimiento unificado generada a partir de todas las instantáneas de lanzamiento público para esta universidad.
Comparando public-release-20260714-002 con public-release-20260715-005.
1 diferencia de lanzamiento público
Comparado con public-release-20260714-002.
Comparando public-release-20260714-002 con public-release-20260715-005.
7 Afirmación registros
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 may 2026, 18:24
official_guidance Tracker checked at 16 jul 2026, 3:22
official_pdf Tracker checked at 15 may 2026, 18:26
official_guidance Tracker checked at 15 may 2026, 18:23