Policy presence
Julius-Maximilians-Universität Würzburg has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Würzburg, Germany
Julius-Maximilians-Universität Würzburg
Julius-Maximilians-Universität Würzburg is listed as QS 2026 rank =416. Julius-Maximilians-Universität Würzburg has 5 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Julius-Maximilians-Universität Würzburg is listed as QS 2026 rank =416. Julius-Maximilians-Universität Würzburg has 5 source-backed AI policy claim records from 4 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 Julius-Maximilians-Universität Würzburg as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/julius-maximilians-universitat-wurzburg.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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Source status claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Julius-Maximilians-Universität Würzburg has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Julius-Maximilians-Universität Würzburg has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Julius-Maximilians-Universität Würzburg has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Julius-Maximilians-Universität Würzburg has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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.
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
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 reviewed
Normalized value: avoid_personal_sensitive_and_confidential_data_in_ai_tools
Original evidence
Evidence 1Prompts 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.
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 reviewed
Normalized value: draft_guideline_requires_disclosure_documentation_and_visible_own_work
Original evidence
Evidence 1Beiträge 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.
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 reviewed
Normalized value: rz_lists_ai_tools_with_responsible_use_requirements
Original evidence
Evidence 1Das 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.
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 reviewed
Normalized value: critical_evaluation_of_ai_outputs_recommended
Original evidence
Evidence 1Die 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 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 reviewed
Normalized value: guidance_and_draft_found_no_final_binding_policy_identified
Original evidence
Evidence 19. 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.
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
4 source attribution
Arbeitspapier zur Erstellung einer JMU KI-Leitlinie
uni-wuerzburg.de
KI-Basics - Lehre
uni-wuerzburg.de
KI-gestützte Tools - Rechenzentrum
rz.uni-wuerzburg.de
Tools und Services der JMU - Lehre
uni-wuerzburg.de
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.
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.