Policy presence
Universität Hamburg has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hamburg, Germany
Universität Hamburg
Universität Hamburg is listed as QS 2026 rank 193. Universität Hamburg has 8 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universität Hamburg is listed as QS 2026 rank 193. Universität Hamburg has 8 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universität Hamburg as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universitat-hamburg.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.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: ChatGPT.
- 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.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
Universität Hamburg has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Universität Hamburg has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universität Hamburg has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Universität Hamburg has 3 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
Universität Hamburg has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Universität Hamburg has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universität Hamburg has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Universität Hamburg has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
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
8 reviewed evidence-backed public claim
Source Status
Universität Hamburg's central orientation framework, status 24 November 2025, sets a university-level framework for using generative AI in teaching and study and is directed at faculties, departments, and subjects for more specific recommendations.
Review: Agent reviewed
Normalized value: central_gki_orientation_framework_status_2025_11_24
Original evidence
Evidence 1STAND 24.11.2025 Zweck und Überblick Mit diesem Dokument wird für die Universität ein Orientierungsrahmen zur Nutzung generativer Künstlicher Intelligenz (gKI) in Lehre und Studium abgesteckt. ... Der Orientierungsrahmen der UHH zum Umgang mit gKI richtet sich an Fakultäten, Fachbereiche und Fächer.
Localized display only
The German UHH framework is status 24 November 2025 and frames university-level use of generative AI in teaching and study for faculties, departments, and subjects.
Academic Integrity
For each examination, the UHH orientation framework says the relevant examiner or examination board must decide whether generative AI systems are permitted as aids, and unauthorized aids are governed by examination regulations and usually lead to a failing mark.
Review: Agent reviewed
Normalized value: exam_ai_aid_permission_set_by_examiner_or_board_unauthorized_aids_usually_fail
Original evidence
Evidence 1Für jede Prüfung müssen die jeweiligen Prüfenden bzw. die Prüfungsausschüsse festlegen, ob gKI-Systeme als Hilfsmittel zugelassen sind. ... Die Konsequenzen, die die Verwendung nicht zugelassener Hilfsmittel in Prüfungen nach sich zieht, sind in den Prüfungsordnungen geregelt. In der Regel führt die Benutzung nicht zugelassener Hilfsmittel dazu, dass die Prüfungsleistung mit „nicht ausreichend“ bzw. „nicht bestanden“ bewertet wird.
Localized display only
The framework assigns permission decisions for AI as exam aids to examiners or examination boards and states that unauthorized aids are handled under examination regulations, usually with a failing mark.
Privacy
The UHH orientation framework says personal data must not be used in generative AI, including UHHGPT, while German supervisory authorities are still examining the lawfulness of personal-data processing in the underlying ChatGPT model.
Review: Agent reviewed
Normalized value: no_personal_data_in_gki_including_uhhgpt_pending_supervisory_review
Original evidence
Evidence 1Nach wie vor dürfen auch bei UHHGPT keine personenbezogenen Daten verwendet werden, jedenfalls solange bis die deutschen Aufsichtsbehörden ihre Prüfung abgeschlossen haben, ob die Verarbeitung personenbezogener Daten im zugrundeliegenden Modell von ChatGPT überhaupt rechtmäßig erfolgt.
Localized display only
The framework says personal data must not be used, including in UHHGPT, pending German supervisory-authority review of the underlying ChatGPT model's personal-data processing.
Privacy
The public UHHGPT page says UHHGPT uses an institutional access to OpenAI's ChatGPT API; prompts are sent to the ChatGPT API, login or other usage data are not transferred to ChatGPT or OpenAI, and prompts are not stored.
Review: Agent reviewed
Normalized value: uhhgpt_institutional_openai_api_access_prompts_sent_no_login_usage_data_transfer_no_prompt_storage
Original evidence
Evidence 1UHHGPT verwendet einen institutionellen Zugang zur OpenAI API von ChatGPT. Die Prompts (Eingaben) werden an die ChatGPT-API gesendet. Es werden keine Anmeldedaten oder sonstige Nutzungsdaten an ChatGPT oder OpenAI übertragen. Die Prompts (Eingaben) werden nicht gespeichert.
Localized display only
The public page says UHHGPT uses institutional OpenAI API access, sends prompts to the ChatGPT API, does not transfer login or usage data to ChatGPT/OpenAI, and does not store prompts.
Teaching
The UHH orientation framework says teachers and students should use generative AI reflectively and responsibly, check AI-generated content for correctness, and use generative AI only within legal, exam, data-protection, copyright, and good-scientific-practice requirements.
Review: Agent reviewed
Normalized value: reflective_responsible_ai_use_with_legal_exam_data_copyright_good_scientific_practice_limits
Original evidence
Evidence 1Für Lehrende – einschließlich ihrer Rolle als Forschende – und Studierende ist es wichtig, dass sie einen reflektierten und verantwortungsvollen Umgang mit gKI pflegen ... KI-generierte Inhalte stets auf ihre Richtigkeit hin kontrollieren ... gKI ausschließlich unter Einhaltung der gesetzlichen Regeln und weiterer rechtlicher Vorgaben etwa in Prüfungs- oder Studienordnungen sowie im Daten- und Urheberrechtsschutz in Studium, Lehre und Forschung nutzen, die Grundsätze guter wissenschaftlicher Praxis auch beim Einsatz von gKI-Systemen reflektieren und einhalten.
Localized display only
UHH tells teachers and students to use generative AI responsibly, verify AI-generated content, and stay within legal, exam, data-protection, copyright, and good-scientific-practice requirements.
Academic Integrity
Where generative AI is permitted in an assessment, the UHH orientation framework says AI use must be transparent; AI text takeovers must be marked and documented, and AI tools used to process one's own text or data must be listed with the purpose of use.
Review: Agent reviewed
Normalized value: transparent_ai_use_marking_documentation_and_tool_listing_with_purpose
Original evidence
Evidence 1In jedem Falle muss der Einsatz von gKI transparent erfolgen. ... Wird der Output von gKI-Systemen übernommen ... muss jede solche Textübernahme in der Arbeit ausdrücklich gekennzeichnet und in geeigneter Weise dokumentiert sein. ... Werden generative KI-Systeme zur (Weiter-)Bearbeitung eigener Texte oder Daten verwendet, müssen die verwendeten Werkzeuge unter Angabe des Verwendungszwecks summarisch in der Arbeit aufgelistet werden.
Localized display only
UHH requires transparent AI use, marking and documentation of AI text takeovers, and summary listing of tools used to process one's own text or data with the purpose of use.
Ai Tool Treatment
The UHH orientation framework says generative AI use in teaching can be mandatory only when the AI systems are officially provided by UHH or when UHH provides licenses, such as UHHGPT.
Review: Agent reviewed
Normalized value: mandatory_teaching_ai_only_officially_provided_or_licensed_by_uhh
Original evidence
Evidence 1Die Nutzung von gKI in der Lehre kann nur dann verpflichtend sein, wenn gKI-Systeme zum Einsatz kommen, die offiziell durch die UHH bereitgestellt werden beziehungsweise. für die von der UHH Lizenzen bereitgestellt werden, z.B. UHHGPT.
Localized display only
The framework says mandatory AI use in teaching is possible only when the systems are officially provided by UHH or licensed by UHH, for example UHHGPT.
Academic Integrity
For teachers using generative AI to assess student work, the UHH orientation framework says the assessment must be performed by the examiner and not by generative AI; generative AI may only serve as an aid, and protected assessment work must not be entered if the data are used for training or otherwise.
Review: Agent reviewed
Normalized value: teacher_assessment_by_examiner_gki_only_aid_no_training_use_of_protected_assessment_work
Original evidence
Evidence 1Urheberrechtlich sind Prüfungsleistungen geschützt und dürfen zumindest dann nicht in eine gKI eingegeben werden, wenn die Daten als Trainingsdaten oder anderweitig verwendet werden. Prüfungsrechtlich ist zu beachten, dass eine Bewertung durch den Prüfenden selbst und nicht durch die gKI vorzunehmen ist. Bei der Bewertung kann gKI daher nur als Hilfsmittel dienen.
Localized display only
The framework says protected assessment work must not be entered into generative AI if used as training or otherwise, and assessment must be done by the examiner, with AI only as an aid.
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
2 source attribution
Orientierungsrahmen der UHH zum Umgang mit generativen KI-Systemen in Studium und Lehre
uni-hamburg.de
UHHGPT
uhhgpt.uni-hamburg.de
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.
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.