Tübingen, Germany

Eberhard Karls Universität Tübingen

Eberhard Karls Universität Tübingen is listed as QS 2026 rank =215. Eberhard Karls Universität Tübingen has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Eberhard Karls Universität Tübingen is listed as QS 2026 rank =215. Eberhard Karls Universität Tübingen has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Eberhard Karls Universität Tübingen as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/eberhard-karls-universitat-tubingen.json. The entity-level confidence is 93%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage4 reviewedSource languagedePublic JSON/api/public/v1/universities/eberhard-karls-universitat-tubingen.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page 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.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Policy presence

Eberhard Karls Universität Tübingen has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence79%Evidence1Sources1

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

Eberhard Karls Universität Tübingen has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

4 reviewed evidence-backed public claim

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%

Normalized value: official_guideline_critical_transparent_responsible

Original evidence

Evidence 1
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.

Localized display only

The page says the guideline on handling generative AI tools in teaching and research is available as text and PDF and represents the university's stance.

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%

Normalized value: document_and_disclose_ai_use

Original evidence

Evidence 1
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.

Localized display only

The guideline says generative-AI handling should be transparent, and when AI is used the procedure should be documented and visible in the relevant format.

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%

Normalized value: template_choice_no_ai_or_disclosure_when_allowed

Original evidence

Evidence 1
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).

Localized display only

The download page says the model declaration must be adapted and that the faculty, department, or teacher chooses either no generative-AI use or disclosure when AI use is allowed.

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%

Normalized value: bwgpt_ask_alma_public_hub_training_note

Original evidence

Evidence 1
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.

Localized display only

The hub says bwGPT/Ask Alma is a data-protection-compliant AI chatbot available at the university and integrated into ILIAS for students and teachers.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

3 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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