University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Eberhard Karls Universität Tübingen

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 15, 2026Last changedMay 15, 2026Claims4Sources3
University pagePublic JSON

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.

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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Eberhard Karls Universität Tübingen current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # Eberhard Karls Universität Tübingen AI policy record
2+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.
3+Evidence (de, 645100de5789): Die Leitlinie zum Umgang mit generativen KI Tools in Lehre und Forschung finden Sie hier auf der Website vollständig als Text zum Lesen oder als PDF zum Download. Diese repräsentiert die Haltung der Universität.
4+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.
5+Evidence (de, 645100de5789): Zweitens soll der Umgang mit generativer KI grundlegend transparent gestaltet werden. Wird generative KI eingesetzt (sei es in Forschung, Studium, Verwaltung oder Wissenschaftskommunikation), ist das Vorgehen zu dokumentieren und im jeweiligen Format transparent sichtbar zu machen.
6+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.
7+Evidence (de, 5c194ee8fc91): Vor der Herausgabe an Studierende ist die Mustereigenständigkeitserklärung anzupassen! Die Fakultät, der Fachbereich oder die Lehrperson wählt entweder Option 1 (Nutzung von generativer KI nicht zugelassen) oder Option 2 (Kennzeichnungspflicht im Falle einer erlaubten Nutzung von generativer KI).
8+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.
9+Evidence (de, fedf2065d402): Mit bwGPT/Ask Alma steht Ihnen an der Universität Tübingen ein moderner, datenschutzkonformer KI-Chatbot zur Verfügung. Über die nahtlose Integration in ILIAS können Studierende und Lehrende direkt in ihrer gewohnten Lernumgebung auf die Funktionen eines leistungsstarken, auf GPT-5 basierenden Systems zugreifen.

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