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Halle, Germany

Martin-Luther-Universität Halle-Wittenberg

Last checkedMay 18, 2026Last changedMay 18, 2026Review: Agent reviewedConfidence97%
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Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources6Source languagedePublic JSON/api/public/v1/universities/martin-luther-universitat-halle-wittenberg.json

Policy profile

Analysis JSONAnalysis review
Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy presence

Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence83%Evidence1Sources1
Claim claim-mlu-automated-grading-prohibited

AI disclosure

Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1
Claim claim-mlu-ai-use-documentation

Privacy and data entry

Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence82%Evidence1Sources1
Claim claim-mlu-ki-personal-data-prohibited

Approved tools

Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence78%Evidence1Sources1
Claim claim-mlu-ki-optional-access

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

Tools directory
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

5 reviewed evidence-backed public claim

Teaching

MLU guidance prohibits automated grading or assessment of student examination work by AI; assessment remains the responsibility of examiners.

Review: Agent reviewedConfidence97%

Normalized value: automated_ai_grading_of_exams_prohibited

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
Eine automatische Bewertung von Prüfungsergebnissen durch die Prüfenden mit Hilfe generativer KI ist unzulässig. Es wird zudem ausdrücklich darauf verwiesen, dass die auf dem Markt befindlichen KI-Detektoren keine zuverlässigen Ergebnisse darüber liefern, in welchem Umfang ein Text mittels generativer KI erstellt wurde.

Localized display only

Automatic assessment of examination results using generative AI is prohibited; the guideline also says AI detectors are not reliable for measuring AI-generated text.

Source language
de
Snapshot hash
d1fed35d4bae7f0a424f7ed09701631013085a088e0dd6beba9c634a429ad54c
Retrieved
May 18, 2026
Evidence locator
Leitlinie, section 3.3 Kriterien für die Zulässigkeit von KI als Hilfsmittel in Prüfungsleistungen

Privacy

The MLU-KI usage terms state that entering personal data is not permitted, including third-party data and special categories of personal data.

Review: Agent reviewedConfidence96%

Normalized value: personal_data_entry_not_permitted_in_mlu_ki

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
Bei der Nutzung von MLU-KI ist es daher ausdrücklich untersagt, personenbezogene Daten (wie Namen, Adressen, Bankverbindungen etc.) zu prompten. Dies gilt insbesondere für Daten Dritter sowie für besondere Kategorien personenbezogener Daten nach Art. 9 Abs. 1 DSGVO, wie z.B. Gesundheitsdaten.

Localized display only

MLU-KI terms expressly prohibit prompting personal data, especially third-party data and special-category personal data.

Source language
de
Snapshot hash
d8e9f1c800a8f05e7568b9bf2d6954cb645225353999afc6547dbefabbeb81df
Retrieved
May 18, 2026
Evidence locator
Section: Speicherung personenbezogener Daten gemäß EU-DSGVO

Ai Tool Treatment

MLU-KI is described as an optional university access route to generative AI systems for members of Martin-Luther-Universität Halle-Wittenberg.

Review: Agent reviewedConfidence92%

Normalized value: optional_mlu_ki_access_for_university_members

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
An der Martin-Luther-Universität Halle-Wittenberg (nachfolgend „MLU“) dient „MLU-KI“ in einem Probebetrieb als optionaler Zugang zu generativen KI-Systemen für Mitglieder der Universität.

Localized display only

MLU-KI is an optional access route to generative AI systems for members of MLU during pilot operation.

Source language
de
Snapshot hash
d8e9f1c800a8f05e7568b9bf2d6954cb645225353999afc6547dbefabbeb81df
Retrieved
May 18, 2026
Evidence locator
Section: Pilotierung des Einsatzes von generativen KI-Systemen an der MLU

Academic Integrity

When students use generative AI for study or assessment work, MLU's guideline says the systems and purposes or types of use are to be named and documented.

Review: Agent reviewedConfidence92%

Normalized value: students_name_and_document_ai_systems_and_purposes_when_used

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
Werden generative KI-Systeme von Studierenden zur Unterstützung von Studien- und Prüfungsleistungen eingesetzt, sind diese Systeme von den Studierenden zu benennen und die Zwecke und Arten des Einsatzes zu dokumentieren.

Localized display only

When students use generative AI for study or assessment work, the systems are to be named and purposes/types of use documented.

Source language
de
Snapshot hash
d1fed35d4bae7f0a424f7ed09701631013085a088e0dd6beba9c634a429ad54c
Retrieved
May 18, 2026
Evidence locator
Leitlinie, section 3.2 Dokumentation des Einsatzes generativer KI-Systeme durch Studierende

Academic Integrity

MLU's AI guideline says generative AI use in study and teaching is generally permissible, with course-specific requirements to be set by responsible instructors.

Review: Agent reviewedConfidence90%

Normalized value: generative_ai_generally_permissible_subject_to_instructor_rules

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
In Studium und Lehre ist der Einsatz generativer KI zulässig, sofern die jeweils verantwortlichen Lehrenden hierzu spezifische Vorgaben und Rahmenbedingungen treffen.

Localized display only

In study and teaching, use of generative AI is permissible if responsible instructors set specific requirements and conditions.

Source language
de
Snapshot hash
d1fed35d4bae7f0a424f7ed09701631013085a088e0dd6beba9c634a429ad54c
Retrieved
May 18, 2026
Evidence locator
Leitlinie, section 3 Einsatz generativer KI-Systeme in Studium und Lehre

Candidate claims

0 machine or needs-review claim

Official sources

6 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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