Policy presence
Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Halle, Germany
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.
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Martin-Luther-Universität Halle-Wittenberg has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Martin-Luther-Universität Halle-Wittenberg has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Martin-Luther-Universität Halle-Wittenberg has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Martin-Luther-Universität Halle-Wittenberg has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Martin-Luther-Universität Halle-Wittenberg has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Martin-Luther-Universität Halle-Wittenberg has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
5 reviewed evidence-backed public claim
Teaching
Normalized value: automated_ai_grading_of_exams_prohibited
Original evidence
Evidence 1Eine 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
Normalized value: personal_data_entry_not_permitted_in_mlu_ki
Original evidence
Evidence 1Bei 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
Normalized value: optional_mlu_ki_access_for_university_members
Original evidence
Evidence 1An 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
Normalized value: students_name_and_document_ai_systems_and_purposes_when_used
Original evidence
Evidence 1Werden 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
Normalized value: generative_ai_generally_permissible_subject_to_instructor_rules
Original evidence
Evidence 1In 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.
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.
6 source attribution
wiki.llz.uni-halle.de
wiki.llz.uni-halle.de
wcms.itz.uni-halle.de
wiki.llz.uni-halle.de
wiki.llz.uni-halle.de
wiki.llz.uni-halle.de
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