University AI Policy Tracker

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Julius-Maximilians-Universität Würzburg

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

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims5Sources4
University pagePublic JSON

Change summary

Current public record freshness and review state.

Julius-Maximilians-Universität Würzburg currently has 5 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 16, 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.

Julius-Maximilians-Universität Würzburg current policy evidence

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

+10-0
11 # Julius-Maximilians-Universität Würzburg AI policy record
2+privacy: JMU guidance warns users not to enter personal, sensitive, unpublished personal, or confidential data into AI tools or prompts.
3+Evidence (de, f5b44fa6ccf4): Prompts sollen keine unveröffentlichten personenbezogenen Daten (z.B. Namen, Adressen, Telefonnummern) beinhalten. Prompts dürfen keine vertraulichen Inhalte (z.B. interne Dokumente, Geschäftsgeheimnisse) offenlegen.
4+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.
5+Evidence (de, 36fe4bb8649e): Beiträge generativer KI-Werkzeuge dürfen genutzt werden, müssen jedoch klar gekennzeichnet werden. Die abgegebene Eigenständigkeitserklärung umfasst auch deren Verwendung.
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.
7+Evidence (de, f5b44fa6ccf4): Das Rechenzentrum ermöglicht den Einsatz von KI-Systemen ... Für einen verantwortungsvollen Einsatz müssen die Grundsätze sowie Vorgaben der Anbieter beachtet werden.
8+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.
9+Evidence (de, a1df14f85593): 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.
10+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.
11+Evidence (de, 36fe4bb8649e): 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.

Claim changes

5 claim records

privacy

JMU guidance warns users not to enter personal, sensitive, unpublished personal, or confidential data into AI tools or prompts.

Review: Agent reviewedConfidence93%Evidence1Languagesde

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%Evidence1Languagesde

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%Evidence1Languagesde

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%Evidence1Languagesde

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%Evidence1Languagesde

Source snapshots

4 source attributions