Halle, Germany

Martin-Luther-Universität Halle-Wittenberg

Martin-Luther-Universität Halle-Wittenberg has 5 source-backed AI policy claims from 6 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.

Martin-Luther-Universität Halle-Wittenberg AI policy short answer

v1 public contract

Martin-Luther-Universität Halle-Wittenberg has 5 source-backed AI policy claims from 6 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: Martin-Luther-Universität Halle-Wittenberg is listed as QS 2026 rank 751-760.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Martin-Luther-Universität Halle-Wittenberg as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/martin-luther-universitat-halle-wittenberg.json. The entity-level confidence is 97%. 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.

Claim coverage5 reviewedSource languagedePublic JSON/api/public/v1/universities/martin-luther-universitat-halle-wittenberg.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources6

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.

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

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.

Policy presence

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

UnclearMachine candidateConfidence83%Evidence1Sources1

AI disclosure

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

RecommendedMachine candidateConfidence78%Evidence1Sources1

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

Approved tools

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

AllowedMachine 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

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

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

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.

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

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.

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

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.

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

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.

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

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.

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

6 source attribution

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.

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

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.

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