Policy presence
Leibniz University Hannover has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Hanover, Germany
Leibniz University Hannover is listed as QS 2026 rank =433. Leibniz University Hannover has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Leibniz University Hannover is listed as QS 2026 rank =433. Leibniz University Hannover has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Leibniz University Hannover as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/leibniz-university-hannover.json. The entity-level confidence is 95%. 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.
Leibniz University Hannover has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Leibniz University Hannover has 4 source-backed public claims for coursework; deterministic analysis status: required.
Leibniz University Hannover has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Leibniz University Hannover has 3 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Leibniz University Hannover has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Leibniz University Hannover has 3 source-backed public claims for approved tools; deterministic analysis status: blocked.
Leibniz University Hannover has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Leibniz University Hannover has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Leibniz University Hannover has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
Leibniz University Hannover has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
8 reviewed evidence-backed public claim
Teaching
Normalized value: binding_teaching_ai_policy
Original evidence
Evidence 1Die KI-Richtlinie bildet den aktuellen Stand der LUH-internen Diskussion zu KI in der Lehre ab ... (2) Die Richtlinie ist verbindlich für alle Lehrenden und Anwendenden an der LUH, die KI-Systeme in der Lehre einsetzen.
Localized display only
The KI-Richtlinie is binding for all LUH teachers and users who use AI systems in teaching.
Privacy
Normalized value: personal_data_requires_ki_rat_sensitive_research_data_prohibited
Original evidence
Evidence 1Die Verarbeitung personenbezogener Daten in KI-Systemen ist ohne ausdrückliche Genehmigung des KI-Rats unzulässig. Die Eingabe von Geschäftsgeheimnissen und sensiblen Forschungsdaten in KI-Systeme ist untersagt.
Localized display only
Processing personal data in AI systems is impermissible without KI-Rat approval; entering trade secrets and sensitive research data is prohibited.
Ai Tool Treatment
Normalized value: central_ai_preferred_decentral_mandatory_use_requires_ki_rat
Original evidence
Evidence 1Die von der LUH zentral bereit gestellten KI-Systeme sind vorrangig zu nutzen. Der verpflichtende Einsatz dezentraler KI-Systeme in Lehrveranstaltungen bedarf der Zustimmung des KI-Rats der LUH und ist nur dann zulässig, wenn keine personenbezogenen Daten verarbeitet werden.
Localized display only
Centrally provided LUH AI systems are to be used preferentially; mandatory decentralized AI use in teaching needs KI-Rat approval and no personal data processing.
Academic Integrity
Normalized value: exam_ai_use_central_only_for_mandatory_use_and_no_automated_correction
Original evidence
Evidence 1Eine verpflichtende Nutzung von KI-Systemen in einer Prüfung darf sich ausschließlich auf zentral bereitgestellte KI-Systeme der LUH beschränken. ... Eine automatisierte Korrektur von Prüfungsleistungen sowie die ganz- oder teilweise Eingabe von Prüfungsleistungen in ein KI-System sind unzulässig.
Localized display only
Mandatory AI use in exams is limited to central LUH systems, and automated correction or entering exam work into AI systems is prohibited.
Teaching
Normalized value: ai_competence_training_required_when_ai_used_in_teaching
Original evidence
Evidence 1Die LUH bietet Schulungen zur Förderung der KI-Kompetenz für alle Anwendenden an. ... Lehrende, die KI-Systeme in einer Lehrveranstaltung einsetzen, sind verpflichtet, Schulungsmaterialien in Lehrveranstaltungen zu integrieren oder ... Schulungen anzubieten.
Localized display only
LUH offers AI competence training, and teachers using AI systems in courses must integrate training materials or offer training.
Ai Tool Treatment
Normalized value: luhki2_chatgpt_platform_websso_privacy_caveats
Original evidence
Evidence 1LUHKI2 ist die weiterentwickelte, datenschutzkonforme KI-Plattform der Leibniz Universität Hannover ... ohne Registrierung bei externen Diensten. ... Alle Anfragen werden vollständig anonymisiert und DSGVO-konform verarbeitet. ... Chatverläufe werden bei OpenAI für 30 Tage gespeichert.
Localized display only
LUHKI2 is LUH's privacy-compliant AI platform without external registration; the page also states OpenAI keeps chat histories for 30 days.
Source Status
Normalized value: central_binding_teaching_ai_policy_found
Original evidence
Evidence 1Informieren Sie sich auf dieser Seite über die aktuelle KI-Richtlinie der LUH. ... Die KI-Richtlinie befasst sich mit dem Einsatz von Künstlicher Intelligenz (KI) in der Lehre an der Leibniz Universität Hannover (LUH) und hat verbindlichen Charakter.
Localized display only
A current central LUH KI-Richtlinie was found, and the page describes it as binding for AI in teaching at LUH.
Academic Integrity
Normalized value: students_should_clarify_ai_use_and_responsible_transparent_use
Original evidence
Evidence 1Bitte beachten Sie, dass ... die Informationen rechtlich nicht bindend sind. ... Klären Sie frühzeitig mit Ihren Lehrenden ab, in welcher Form Sie KI-Tools für Studien- oder Prüfungsleistungen einsetzen können ... Es liegt in der Verantwortung der Studierenden, den rechtmäßigen, verantwortungsvollen und transparenten Einsatz ... sicherzustellen.
Localized display only
The ZQS page is non-binding guidance and tells students to clarify AI use with instructors and remain responsible for lawful, transparent use.
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.
5 source attribution
zqs.uni-hannover.de
uni-hannover.de
luis.uni-hannover.de
uni-hannover.de
uni-hannover.de
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