Marburg, Germany

Philipps-Universität Marburg

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3Source languagedePublic JSON/api/public/v1/universities/philipps-universitat-marburg.json

Policy profile

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

AI disclosure

Philipps-Universität Marburg has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Philipps-Universität Marburg has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

4 reviewed evidence-backed public claim

Privacy

The HRZ AI services page says the university offers generative AI services via GWDG KI-Cloud and lists usage rules including no prompt/file input of personal, confidential, or security-relevant data and transparent disclosure when the service is used.

Review: Agent reviewedConfidence92%

Normalized value: gwdg_ki_cloud_rules_no_sensitive_data_transparency

Original evidence

Evidence 1
Geben Sie niemals personenbezogene, vertrauliche oder sicherheitsrelevante Daten über den Prompt ein bzw. stellen sie diese niemals dem genKI-Modell über Dateien zur Verfügung. ... Sollte der Dienst genutzt werden, muss dies transparent angegeben werden.

Localized display only

Do not enter personal, confidential, or security-relevant data through prompts or files; if the service is used, this must be transparently stated.

Teaching

Philipps-Universität Marburg's central teaching-and-AI orientation says the university does not prohibit generative AI and frames the guidance around exploring productive use in teaching and teaching organization.

Review: Agent reviewedConfidence90%

Normalized value: central_guidance_not_general_ban

Original evidence

Evidence 1
Die UMR verbietet nicht den Einsatz generativer KI. Dazu gehören sprachbasierte KI-Anwendungen (z.B. ChatGPT) ebenso wie bildgenerierende KI-Anwendungen (z.B. DALL-E, Midjourney).

Localized display only

UMR does not prohibit the use of generative AI, including language-based applications such as ChatGPT and image-generating applications.

Academic Integrity

The central teaching-and-AI orientation recommends that, for written work, AI-generated text parts be marked as such as a matter of good scientific practice.

Review: Agent reviewedConfidence88%

Normalized value: ai_generated_text_parts_should_be_marked

Original evidence

Evidence 1
Gute wissenschaftliche Praxis erfordert, dass KI-generierte Textteile als solche gekennzeichnet werden.

Localized display only

Good scientific practice requires that AI-generated text parts be identified as such.

Academic Integrity

A Fachbereich 03 Empirische Kulturwissenschaft page states that information taken directly or indirectly from AI tools must be marked, otherwise it is a deception attempt; this claim is limited to that page's department-scoped guidance.

Review: Agent reviewedConfidence86%

Normalized value: fb03_ai_derived_information_must_be_marked

Original evidence

Evidence 1
In jedem Fall müssen Informationen, die direkt oder sinngemäß aus einem solchen Tool stammen, gekennzeichnet werden, andernfalls handelt es sich hierbei um einen Täuschungsversuch.

Localized display only

Information taken directly or indirectly from such a tool must be marked; otherwise this is a deception attempt.

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

Corrections

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