Change log

Eberhard Karls Universität Tübingen

Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Change summary

Current public record freshness and review state.

Eberhard Karls Universität Tübingen currently has 4 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 15, 2026. No tracker diff rows are recorded in the latest public release.

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.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Release diff

Unified tracker diff generated from the previous and current public release snapshots.

No tracker claim/evidence/source changes are recorded for this university in the latest public release.

Claim changes

4 claim records

teaching

The University of Tübingen download area says its model declaration must be adapted before distribution to students, with the faculty, department, or teacher choosing either a no-generative-AI-use option or a marking-duty option when AI use is allowed.

Review: Agent reviewedConfidence88%Evidence1Languagesde

ai_tool_treatment

The University of Tübingen public generative-AI hub describes bwGPT/Ask Alma as a data-protection-compliant AI chatbot available through ILIAS for students and teachers, while noting that users should complete a basic generative-AI training module before using AI offerings such as bwGPT/Ask Alma.

Review: Agent reviewedConfidence86%Evidence1Languagesde

ai_tool_treatment

The University of Tübingen presents its generative-AI guideline for teaching and research as representing the university's stance, focused on critical-reflective, transparent, and responsible handling of generative AI.

Review: Agent reviewedConfidence93%Evidence1Languagesde

academic_integrity

The University of Tübingen guideline says that when generative AI is used in research, study, administration, or science communication, the procedure should be documented and made transparently visible in the relevant format.

Review: Agent reviewedConfidence91%Evidence1Languagesde

Source snapshots

3 source attributions