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.
Bonn, Germany
Rheinische Friedrich-Wilhelms-Universität Bonn
Rheinische Friedrich-Wilhelms-Universität Bonn is listed as QS 2026 rank =207. Rheinische Friedrich-Wilhelms-Universität Bonn has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Rheinische Friedrich-Wilhelms-Universität Bonn is listed as QS 2026 rank =207. Rheinische Friedrich-Wilhelms-Universität Bonn has 5 source-backed AI policy claim records from 3 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 Rheinische Friedrich-Wilhelms-Universität Bonn as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/rheinische-friedrich-wilhelms-universitat-bonn.json. The entity-level confidence is 94%. 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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- Named AI services detected in public claims: ChatGPT.
- Teaching, assessment, coursework, or syllabus-related 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
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.
Coursework
Rheinische Friedrich-Wilhelms-Universität Bonn has 1 source-backed public claim for coursework; deterministic analysis status: conditionally_allowed.
Exams
Rheinische Friedrich-Wilhelms-Universität Bonn has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Rheinische Friedrich-Wilhelms-Universität Bonn has 3 source-backed public claims for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
Rheinische Friedrich-Wilhelms-Universität Bonn has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
Rheinische Friedrich-Wilhelms-Universität Bonn has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Rheinische Friedrich-Wilhelms-Universität Bonn has 4 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
5 reviewed evidence-backed public claim
Academic Integrity
For the Philosophical Faculty, the page says use of AI without examiner approval is treated as attempted deception and graded 5.0.
Review: Agent reviewed
Normalized value: philfak_unauthorized_ai_attempted_deception_5_0
Original evidence
Evidence 1Erfolgt eine Verwendung von KI ohne Freigabe der Prüfer*innen, wird die Leistung als Täuschungsversuch betrachtet und mit einer 5,0 bewertet.
Localized display only
Use of AI without examiner approval is treated as attempted deception and graded 5.0.
Academic Integrity
For Philosophical Faculty examinations, the page says AI may be used by students only when explicitly and uniformly permitted for all examinees in a cohort or seminar.
Review: Agent reviewed
Normalized value: philfak_ai_only_if_explicitly_permitted
Original evidence
Evidence 1Nur wenn dieses Hilfsmittel explizit und einheitlich für alle Prüflinge einer Kohorte (bzw. eines Seminars) von den Prüfer*innen zugelassen wurde, darf KI von den Studierenden verwendet werden.
Localized display only
Students may use AI only if examiners explicitly and uniformly allow it for all examinees in the cohort or seminar.
Academic Integrity
For Bonner Zentrum für Lehrer*innenbildung written work, the page says use of AI applications such as ChatGPT is prohibited unless explicitly allowed by examiners, and otherwise is an unauthorized aid.
Review: Agent reviewed
Normalized value: bzl_ai_written_work_requires_examiner_permission
Original evidence
Evidence 1Bitte beachten Sie, dass die Verwendung von KI (Anwendungen wie ChatGPT) bei der Erstellung von schriftlichen Arbeiten verboten ist! Es handelt sich um ein unzulässiges Hilfsmittel, sofern die Verwendung nicht ausdrücklich durch die Prüfer*innen erlaubt wurde.
Localized display only
Use of AI such as ChatGPT for written work is prohibited unless examiners explicitly allow it; otherwise it is an unauthorized aid.
Teaching
The central VND teaching-funding page says the University of Bonn supports university-wide teaching projects and lists FALKO as an AI-supported learning companion for teacher education.
Review: Agent reviewed
Normalized value: vnd_supports_ai_supported_teaching_project_falko
Original evidence
Evidence 1Unter dem Titel vielfältig.nachhaltig.digital werden inzwischen universitätsweit zahlreiche Vorhaben gefördert, die innovative Impulse für eine qualitativ hochwertige Lehre setzen. Das Projekt FALKO adressiert Studierende des Bachelor-/Masterprogramms „Lehramt an Berufskollegs“ ... Geplant ist die Entwicklung eines KI-gestützten Lernbegleiters (Chatbots).
Localized display only
The VND funding line supports university-wide teaching projects; FALKO plans an AI-supported learning companion or chatbot for teacher education students.
Privacy
For the FALKO teaching project, the central VND page says model training and implementation are to be data-protection-compliant under the EU AI Act.
Review: Agent reviewed
Normalized value: falko_training_implementation_datenschutzkonform_eu_ai_act
Original evidence
Evidence 1Ziel des Projektes ist die Entwicklung eines qualitativ hochwertigen, fachdidaktisch fundierten Datensatzes, der die Grundlage für das Fine-Tuning des Mistral Small 3.1 27B Modells bildet. Training und die Implementierung erfolgen datenschutzkonform gemäß EU AI Act.
Localized display only
The FALKO project aims to create a dataset for fine-tuning Mistral Small 3.1 27B; training and implementation are described as data-protection-compliant under the EU AI Act.
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
3 source attribution
Täuschungsversuch und Plagiat
philfak.uni-bonn.de
Täuschungsversuche und Plagiate
bzl.uni-bonn.de
Vielfalt, Nachhaltigkeit und digitale Lehre im Fokus
uni-bonn.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.