Würzburg, Germany

Julius-Maximilians-Universität Würzburg

Last checkedJul 16, 2026Last changedJul 16, 2026Review: Agent reviewedConfidence97%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage6 reviewedEvidence-backed claims6Reviewed6Candidate0Official sources5Source languagedePublic JSON/api/public/v1/universities/julius-maximilians-universitat-wurzburg.json

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

Policy presence

Julius-Maximilians-Universität Würzburg has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence77%Evidence4Sources4

Claim cl-julius-maximilians-universitat-wurzburg-institutional-ai-service-848 Claim claim-wuerzburg-privacy-and-prompts Claim claim-wuerzburg-critical-evaluation

AI disclosure

Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Claim claim-wuerzburg-draft-transparency

Coursework

Julius-Maximilians-Universität Würzburg has 4 source-backed public claims for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence4Sources4

Claim cl-julius-maximilians-universitat-wurzburg-institutional-ai-service-848 Claim claim-wuerzburg-draft-transparency Claim claim-wuerzburg-rz-tools

Exams

Julius-Maximilians-Universität Würzburg has 4 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence4Sources4

Claim cl-julius-maximilians-universitat-wurzburg-institutional-ai-service-848 Claim claim-wuerzburg-draft-transparency Claim claim-wuerzburg-rz-tools

Privacy and data entry

Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence1Sources1

Claim claim-wuerzburg-privacy-and-prompts

Academic integrity

Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Claim claim-wuerzburg-draft-transparency

Approved tools

Julius-Maximilians-Universität Würzburg has 2 source-backed public claims for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence2Sources2

Claim cl-julius-maximilians-universitat-wurzburg-institutional-ai-service-848 Claim claim-wuerzburg-rz-tools

Named AI services

Julius-Maximilians-Universität Würzburg has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence3Sources2

Claim cl-julius-maximilians-universitat-wurzburg-institutional-ai-service-848 Claim claim-wuerzburg-privacy-and-prompts Claim claim-wuerzburg-rz-tools

Teaching guidance

Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1

Claim claim-wuerzburg-critical-evaluation

Research guidance

Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence1Sources1

Claim claim-wuerzburg-privacy-and-prompts

Security and procurement

Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.

AllowedMachine candidateConfidence83%Evidence1Sources1

Claim cl-julius-maximilians-universitat-wurzburg-institutional-ai-service-848

Derived tool records3

Adobe Firefly

Julius-Maximilians-Universität Würzburg

Tool: Adobe Firefly
About: Not specified
Access: Not specified
Cost: Not specified
Availability: Unknown
Review: Agent reviewed
Sources: Source 1

Chat AI (GWDG / University of Göttingen)

Julius-Maximilians-Universität Würzburg

Tool: Chat AI (GWDG / University of Göttingen)
About: JMU's IT service catalogue lists the GWDG/University of Göttingen Chat AI generative-AI service with AcademicCloud or direct SSO access.
Access: Sign in through AcademicCloud or directly using SSO.
Cost: Not specified.
Availability: Allowed
Review: Agent reviewed
Sources: Source 1

Microsoft Copilot Chat

Julius-Maximilians-Universität Würzburg

Tool: Microsoft Copilot Chat
About: Not specified
Access: Not specified
Cost: Not specified
Availability: Unknown
Review: Agent reviewed
Sources: Source 1

Evidence-backed claims

6 reviewed evidence-backed public claim

Normalized value: {"tool":"institutional_ai_service","rawToolName":"Chat AI (GWDG / University of Göttingen)","description":"JMU's IT service catalogue lists the GWDG/University of Göttingen Chat AI generative-AI service with AcademicCloud or direct SSO access.","howToObtain":"Sign in through AcademicCloud or directly using SSO.","costToUser":"Not specified.","availability":"allowed","endorsementType":"officially_endorsed"}

Last checked: Jul 16, 2026
Last changed: Jul 16, 2026

原始证据

Evidence 1

ChatBot der GWDG / Uni Göttingen: KI-Angebot mit dem Chatbot Chat AI, der auf einer hauseigenen Hardware läuft. Sie können sich über die AcademicCloud oder direkt über diesen Link einfach per SSO einloggen und mit der generativen KI chatten.
Source: IT-Servicekatalog 2025 | Julius-Maximilians-Universität Würzburg

本地化显示 only

ChatBot der GWDG / Uni Göttingen: KI-Angebot mit dem Chatbot Chat AI, der auf einer hauseigenen Hardware läuft. Sie können sich über die AcademicCloud oder direkt über diesen Link einfach per SSO einloggen und mit der generativen KI chatten.

来源语言: de
快照哈希: 71f83292c0578f382aedaf852c3798c1c0371046f1d027ad5a4ac098ca7582a2
Retrieved: Jul 16, 2026

Normalized value: avoid_personal_sensitive_and_confidential_data_in_ai_tools

Last checked: May 16, 2026
Last changed: May 16, 2026

原始证据

Evidence 1

Prompts sollen keine unveröffentlichten personenbezogenen Daten (z.B. Namen, Adressen, Telefonnummern) beinhalten. Prompts dürfen keine vertraulichen Inhalte (z.B. interne Dokumente, Geschäftsgeheimnisse) offenlegen.
Source: KI-gestützte Tools - Rechenzentrum

本地化显示 only

Prompts should not contain unpublished personal data and must not reveal confidential content.

来源语言: de
快照哈希: f5b44fa6ccf4adefb4988082f1af2b09e557f32ae70151233f82d2713127a377
Retrieved: May 16, 2026
Evidence locator: Section 'Nutzerinnen und Nutzer sind für die Eingabe der Prompts verantwortlich'

Normalized value: draft_guideline_requires_disclosure_documentation_and_visible_own_work

Last checked: May 16, 2026
Last changed: May 16, 2026

原始证据

Evidence 1

Beiträge generativer KI-Werkzeuge dürfen genutzt werden, müssen jedoch klar gekennzeichnet werden. Die abgegebene Eigenständigkeitserklärung umfasst auch deren Verwendung.
Source: Arbeitspapier zur Erstellung einer JMU KI-Leitlinie

本地化显示 only

The draft guideline says generative AI contributions may be used but must be clearly marked and included in the independence declaration.

来源语言: de
快照哈希: 36fe4bb8649e7405f9bcf344f8d5521c99f0290007606c5b0801d04e701a3d44
Retrieved: May 16, 2026
Evidence locator: PDF section 1.3 Verantwortung, page 6

Normalized value: rz_lists_ai_tools_with_responsible_use_requirements

Last checked: May 16, 2026
Last changed: May 16, 2026

原始证据

Evidence 1

Das Rechenzentrum ermöglicht den Einsatz von KI-Systemen ... Für einen verantwortungsvollen Einsatz müssen die Grundsätze sowie Vorgaben der Anbieter beachtet werden.
Source: KI-gestützte Tools - Rechenzentrum

本地化显示 only

The Rechenzentrum enables use of AI systems and says responsible use must observe provider principles and requirements.

来源语言: de
快照哈希: f5b44fa6ccf4adefb4988082f1af2b09e557f32ae70151233f82d2713127a377
Retrieved: May 16, 2026
Evidence locator: Page introduction and 'Welche Möglichkeiten bieten KI-Systeme?' section

Normalized value: critical_evaluation_of_ai_outputs_recommended

Last checked: May 16, 2026
Last changed: May 16, 2026

原始证据

Evidence 1

Die Ergebnisse von KI-Systemen sollten grundsätzlich kritisch bewertet werden. Generative KI basiert auf statistischen Modellen ... Abhängig vom jeweiligen Fachgebiet und der konkreten Fragestellung können die Resultate daher entweder sehr hilfreich und zutreffend oder fehlerhaft und irreführend sein.
Source: KI-Basics - Lehre

本地化显示 only

JMU teaching guidance says AI outputs should be critically evaluated and may be helpful, faulty, or misleading depending on context.

来源语言: de
快照哈希: a1df14f85593ae44e709c12313fc2e1c7256e068dd5d1b909fa3adfda8154289
Retrieved: May 16, 2026
Evidence locator: KI-Basics section on evaluating AI system results

Normalized value: guidance_and_draft_found_no_final_binding_policy_identified

Last checked: May 16, 2026
Last changed: May 16, 2026

原始证据

Evidence 1

9. Juli 2025 20250709 Arbeitsfassung_Leitlinie JMU Umgang mit KI V8.docx ... Die vorliegende Leitlinie dient dazu, einen zukunftsorientierten Rahmen für den Einsatz von KI in Lehre und Prüfungen zu schaffen.
Source: Arbeitspapier zur Erstellung einer JMU KI-Leitlinie

本地化显示 only

The document is a July 2025 working draft for a JMU AI guideline and frames AI use in teaching and exams.

来源语言: de
快照哈希: 36fe4bb8649e7405f9bcf344f8d5521c99f0290007606c5b0801d04e701a3d44
Retrieved: May 16, 2026
Evidence locator: PDF title/foreword, pages 1-3

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

Arbeitspapier zur Erstellung einer JMU KI-Leitlinie

uni-wuerzburg.de

Source URL: https://www.uni-wuerzburg.de/fileadmin/43180000/Tag_der_Lehre/Tag_der_Lehre_2025/20250709_Arbeitsfassung_Leitlinie_JMU_Umgang_mit_KI_V8.pdf
Snapshot hash: 36fe4bb8649e7405f9bcf344f8d5521c99f0290007606c5b0801d04e701a3d44

IT-Servicekatalog 2025 | Julius-Maximilians-Universität Würzburg

rz.uni-wuerzburg.de

Source URL: https://www.rz.uni-wuerzburg.de/fileadmin/42000000/2025/JMU_IT-Servicekatalog_2025.pdf
Snapshot hash: 71f83292c0578f382aedaf852c3798c1c0371046f1d027ad5a4ac098ca7582a2

KI-Basics - Lehre

uni-wuerzburg.de

Source URL: https://www.uni-wuerzburg.de/lehre/unterstuetzung-und-weiterbildung/ki-in-studium-und-lehre/ki-basics/
Snapshot hash: a1df14f85593ae44e709c12313fc2e1c7256e068dd5d1b909fa3adfda8154289

KI-gestützte Tools - Rechenzentrum

rz.uni-wuerzburg.de

Source URL: https://www.rz.uni-wuerzburg.de/dienste/shop/software/nutzung-ki-gestuetzter-tools/
Snapshot hash: f5b44fa6ccf4adefb4988082f1af2b09e557f32ae70151233f82d2713127a377

Tools und Services der JMU - Lehre

uni-wuerzburg.de

Source URL: https://www.uni-wuerzburg.de/lehre/unterstuetzung-und-weiterbildung/ki-in-studium-und-lehre/tools-und-services-der-jmu/
Snapshot hash: cf2ede509fdb8ffca6def0c8f2be0c99298313fdfe5a12a00da76393119def06

Last checkedJul 16, 2026Last changedJul 16, 2026Open change log

Open contribution paths Review workflow

Back to universities

Julius-Maximilians-Universität Würzburg

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Adobe Firefly

Chat AI (GWDG / University of Göttingen)

Microsoft Copilot Chat

Evidence-backed claims

Chat AI (GWDG / University of Göttingen) is listed for Julius-Maximilians-Universität Würzburg in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.

JMU guidance warns users not to enter personal, sensitive, unpublished personal, or confidential data into AI tools or prompts.

JMU's July 2025 working draft AI guideline says generative AI contributions may be used but must be clearly marked, included in the independence declaration, and documented so students' own work remains visible.

The JMU Rechenzentrum page enables use of AI systems and lists tool options such as Microsoft Copilot Chat and Adobe Firefly, while stating that responsible use must observe provider, legal, and university requirements.

JMU teaching guidance says AI system results should be critically evaluated because generative AI may reproduce bias and can be helpful, faulty, or misleading depending on context.

Public official sources reviewed for JMU Würzburg showed central AI guidance pages and a July 2025 working draft guideline, but no final central binding AI policy was identified.

Candidate claims

Official sources

Arbeitspapier zur Erstellung einer JMU KI-Leitlinie

IT-Servicekatalog 2025 | Julius-Maximilians-Universität Würzburg

KI-Basics - Lehre

KI-gestützte Tools - Rechenzentrum

Tools und Services der JMU - Lehre

Change log

Corrections