public-release-20260715-005
Compared with public-release-20260714-002.
Friedrich-Alexander-Universität Erlangen-Nürnberg public-release-20260715-005 diff
Comparing public-release-20260714-002 to public-release-20260715-005.
Change log
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Current public record freshness and review state.
Friedrich-Alexander-Universität Erlangen-Nürnberg currently has 7 source-backed claim records and 4 official source attributions. Latest tracked changed date: Jul 19, 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
This page combines all public release diffs for Friedrich-Alexander-Universität Erlangen-Nürnberg. Individual release snapshots remain available from their release-specific URLs.
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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Semantic classification for this release diff.
Unified tracker diff generated from all public release snapshots for this university.
Comparing public-release-20260714-002 to public-release-20260715-005.
1 public release diff
Compared with public-release-20260714-002.
Comparing public-release-20260714-002 to public-release-20260715-005.
7 claim records
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 May 15, 2026, 6:24 PM
official_guidance Tracker checked at Jul 16, 2026, 3:22 AM
official_pdf Tracker checked at May 15, 2026, 6:26 PM
official_guidance Tracker checked at May 15, 2026, 6:23 PM