University AI Policy Tracker

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Martin-Luther-Universität Halle-Wittenberg

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

Review: Agent reviewedLast checkedMay 18, 2026Last changedMay 18, 2026Claims5Sources6
University pagePublic JSON

Change summary

Current public record freshness and review state.

Martin-Luther-Universität Halle-Wittenberg currently has 5 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 18, 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.

Martin-Luther-Universität Halle-Wittenberg current policy evidence

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

+10-0
11 # Martin-Luther-Universität Halle-Wittenberg AI policy record
2+teaching: MLU guidance prohibits automated grading or assessment of student examination work by AI; assessment remains the responsibility of examiners.
3+Evidence (de, d1fed35d4bae): 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.
4+privacy: The MLU-KI usage terms state that entering personal data is not permitted, including third-party data and special categories of personal data.
5+Evidence (de, d8e9f1c800a8): 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.
6+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.
7+Evidence (de, d8e9f1c800a8): 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.
8+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.
9+Evidence (de, d1fed35d4bae): 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.
10+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.
11+Evidence (de, d1fed35d4bae): In Studium und Lehre ist der Einsatz generativer KI zulässig, sofern die jeweils verantwortlichen Lehrenden hierzu spezifische Vorgaben und Rahmenbedingungen treffen.

Claim changes

5 claim records

teaching

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

Review: Agent reviewedConfidence97%Evidence1Languagesde

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%Evidence1Languagesde

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%Evidence1Languagesde

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%Evidence1Languagesde

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%Evidence1Languagesde

Source snapshots

6 source attributions