University AI Policy Tracker
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Würzburg, Germany

Julius-Maximilians-Universität Würzburg

Last checkedMay 16, 2026Last changedMay 16, 2026Review: Agent reviewedConfidence93%
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Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources4Source languagedePublic JSON/api/public/v1/universities/julius-maximilians-universitat-wurzburg.json

Policy profile

Analysis JSONAnalysis review
Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

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

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 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1
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

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

AI tools

Tools directory
Derived tool records2

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

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

5 reviewed evidence-backed public claim

Privacy

JMU guidance warns users not to enter personal, sensitive, unpublished personal, or confidential data into AI tools or prompts.

Review: Agent reviewedConfidence93%

Normalized value: avoid_personal_sensitive_and_confidential_data_in_ai_tools

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

Original evidence

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.

Localized display only

Prompts should not contain unpublished personal data and must not reveal confidential content.

Source language
de
Snapshot hash
f5b44fa6ccf4adefb4988082f1af2b09e557f32ae70151233f82d2713127a377
Retrieved
May 16, 2026
Evidence locator
Section 'Nutzerinnen und Nutzer sind für die Eingabe der Prompts verantwortlich'

Academic Integrity

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.

Review: Agent reviewedConfidence90%

Normalized value: draft_guideline_requires_disclosure_documentation_and_visible_own_work

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

Original evidence

Evidence 1
Beiträge generativer KI-Werkzeuge dürfen genutzt werden, müssen jedoch klar gekennzeichnet werden. Die abgegebene Eigenständigkeitserklärung umfasst auch deren Verwendung.

Localized display only

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

Source language
de
Snapshot hash
36fe4bb8649e7405f9bcf344f8d5521c99f0290007606c5b0801d04e701a3d44
Retrieved
May 16, 2026
Evidence locator
PDF section 1.3 Verantwortung, page 6

Ai Tool Treatment

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.

Review: Agent reviewedConfidence90%

Normalized value: rz_lists_ai_tools_with_responsible_use_requirements

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

Original evidence

Evidence 1
Das Rechenzentrum ermöglicht den Einsatz von KI-Systemen ... Für einen verantwortungsvollen Einsatz müssen die Grundsätze sowie Vorgaben der Anbieter beachtet werden.

Localized display only

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

Source language
de
Snapshot hash
f5b44fa6ccf4adefb4988082f1af2b09e557f32ae70151233f82d2713127a377
Retrieved
May 16, 2026
Evidence locator
Page introduction and 'Welche Möglichkeiten bieten KI-Systeme?' section

Teaching

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.

Review: Agent reviewedConfidence88%

Normalized value: critical_evaluation_of_ai_outputs_recommended

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

Original evidence

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.

Localized display only

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

Source language
de
Snapshot hash
a1df14f85593ae44e709c12313fc2e1c7256e068dd5d1b909fa3adfda8154289
Retrieved
May 16, 2026
Evidence locator
KI-Basics section on evaluating AI system results

Source Status

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.

Review: Agent reviewedConfidence82%

Normalized value: guidance_and_draft_found_no_final_binding_policy_identified

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

Original evidence

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.

Localized display only

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

Source language
de
Snapshot hash
36fe4bb8649e7405f9bcf344f8d5521c99f0290007606c5b0801d04e701a3d44
Retrieved
May 16, 2026
Evidence locator
PDF title/foreword, pages 1-3

Candidate claims

0 machine or needs-review claim

Official sources

4 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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