Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Open, evidence-backed AI policy records for public reuse.
Bochum, Germany
Ruhr-Universität Bochum is listed as QS 2026 rank =395. Ruhr-Universität Bochum has 6 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
Ruhr-Universität Bochum is listed as QS 2026 rank =395. Ruhr-Universität Bochum has 6 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 Ruhr-Universität Bochum as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/ruhr-universitat-bochum.json. The entity-level confidence is 92%. 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.
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Ruhr-Universität Bochum has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Ruhr-Universität Bochum has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Ruhr-Universität Bochum has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Ruhr-Universität Bochum has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Ruhr-Universität Bochum has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Ruhr-Universität Bochum has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Ruhr-Universität Bochum has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Ruhr-Universität Bochum has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Ruhr-Universität Bochum has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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.
6 reviewed evidence-backed public claim
Privacy
Normalized value: gptatrub_directions_prohibit_third_party_personal_data_input_and_automated_exam_decisions
Original evidence
Evidence 1Es durfen keine personenbezogenen Daten Dritter gem. Art. 4 Abs. 1 DSGVO als Input fur GPT@RUB verwendet werden. ... GPT@RUB und andere KI-Systeme durfen (z.B. im Kontext von Prufungen) nicht zur automatisierten Entscheidungsfindung gem. Art. 22 Abs. 2 DSGVO verwendet werden.
Localized display only
No third-party personal data may be used as GPT@RUB input; GPT@RUB and other AI systems may not be used for automated decision-making in examinations.
Academic Integrity
Normalized value: english_seminar_ai_disclosure_and_prohibition_rules
Original evidence
Evidence 1Es ist nicht zulassig, ganze Absatze von GPTs erstellen zu lassen und in den eigenen Text einzufugen. ... die ungekennzeichnete Verwendung von Text, der von einem GPT generiert wurde, stets als Tauschungsversuch und wird entsprechend geahndet.
Localized display only
The English Seminar prohibits inserting whole GPT-created paragraphs and treats unmarked GPT-generated text as an attempt to cheat.
Ai Tool Treatment
Normalized value: central_ai_chat_portal_available_to_rub_users
Original evidence
Evidence 1GPT@RUB offers all RUB students, staff and lecturers reliable access to artificial intelligence in everyday university life.
Academic Integrity
Normalized value: geography_institute_ai_use_allowed_with_disclosure
Original evidence
Evidence 1fachliche Inhalte und Darstellungen einschl. Abbildungen und Tabellen, die mit einem KI-Tool erstellt wurden, als solche kenntlich machen mussen, da ansonsten ein Tauschungsversuch vorliegt und Studien- und Prufungsleistungen nicht bestanden werden
Localized display only
AI-generated subject content, figures, and tables must be marked; otherwise this is treated as an attempt to cheat and the work is failed.
Privacy
Normalized value: gptatrub_privacy_notice_limits_identifiers_and_third_party_personal_data
Original evidence
Evidence 1Your RUB ID and password are required for login. The RUB ID is also stored on the server and is not transmitted to OpenAI. There is no user account assigned to individual users at OpenAI.
Teaching
Normalized value: generative_ai_use_allowed_but_contextually_restrictable
Original evidence
Evidence 1Ja: Generative KI-Tools konnen an der RUB in Forschung, Lehre und Studium genutzt werden. Diese Nutzung kann aber in bestimmten Kontexten (zum Beispiel bei schriftlichen Prufungen) eingeschrankt oder mit Kennzeichnungspflichten verbunden werden.
Localized display only
Generative AI tools can be used at RUB in research, teaching, and study, but use can be restricted or tied to disclosure requirements in certain contexts.
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
it-services.ruhr-uni-bochum.de
zfw.rub.de
geographie.ruhr-uni-bochum.de
zfw.rub.de
es.ruhr-uni-bochum.de
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