Policy presence
Albert-Ludwigs-Universitaet Freiburg has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Freiburg im Breisgau, Germany
Albert-Ludwigs-Universitaet Freiburg is listed as QS 2026 rank 201. Albert-Ludwigs-Universitaet Freiburg has 7 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.
v1 public contract
Albert-Ludwigs-Universitaet Freiburg is listed as QS 2026 rank 201. Albert-Ludwigs-Universitaet Freiburg has 7 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.
As of this public record, University AI Policy Tracker lists Albert-Ludwigs-Universitaet Freiburg as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 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/albert-ludwigs-universitaet-freiburg.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.
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.
Albert-Ludwigs-Universitaet Freiburg has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Albert-Ludwigs-Universitaet Freiburg has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Albert-Ludwigs-Universitaet Freiburg has 3 source-backed public claims for coursework; deterministic analysis status: required.
Albert-Ludwigs-Universitaet Freiburg has 3 source-backed public claims for exams; deterministic analysis status: required.
Albert-Ludwigs-Universitaet Freiburg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Albert-Ludwigs-Universitaet Freiburg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Albert-Ludwigs-Universitaet Freiburg has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Albert-Ludwigs-Universitaet Freiburg has 3 source-backed public claims for named ai services; deterministic analysis status: required.
Albert-Ludwigs-Universitaet Freiburg has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Albert-Ludwigs-Universitaet Freiburg has 4 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
7 reviewed evidence-backed public claim
Research
Normalized value: researchers disclose AI systems and label contributions
Original evidence
Evidence 1Wissenschaftler*innen sollen offenlegen, welche KI-Systeme sie benutzt haben und deren Beiträge klar kennzeichnen.
Localized display only
University of Freiburg research policy says researchers should disclose which AI systems they used and clearly label those systems' contributions.
Research
Normalized value: researchers remain responsible for AI-generated or AI-based outputs
Original evidence
Evidence 1Wissenschaftler*innen tragen weiterhin die Verantwortung für die Richtigkeit der erzeugten Daten, Texte und Ergebnisse, auch wenn diese KI-generiert oder -basiert sind.
Localized display only
University of Freiburg research policy says researchers remain responsible for the correctness of generated data, texts, and results even when they are AI-generated or AI-based.
Research
Normalized value: identify AI-generated data/results and fully document methods systems and data sources
Original evidence
Evidence 1Es muss kenntlich gemacht werden, wenn Daten und darauf aufbauende Ergebnisse KI-generiert sind. Herkunft und Verwendung der genutzten Methoden, KI-Systeme und Datenquellen müssen vollständig dokumentiert werden.
Localized display only
University of Freiburg research policy says AI-generated data and derived results must be identified, and the methods, AI systems, and data sources used must be fully documented.
Ai Tool Treatment
Normalized value: Open WebUI available to all members for administration study teaching and research
Original evidence
Evidence 1Open WebUI ist eine webbasierte Oberfläche, mit der alle Mitglieder der Universität Freiburg Large Language Models (LLMs) sicher und unkompliziert in Verwaltung, Studium, Lehre und Forschung einsetzen können.
Localized display only
University of Freiburg Rechenzentrum describes Open WebUI as a web interface that lets all university members use LLMs in administration, study, teaching, and research.
Privacy
Normalized value: internal Open WebUI data remains in secured university environment; external model requests use central API access
Original evidence
Evidence 1Alle Daten bleiben bei Verwendung der internen Modelle innerhalb der gesicherten Uni-Umgebung. Bei der Nutzung externer Modelle werden Ihre Anfragen über den zentralen API Zugang der Universität an die Anbieter weitergeleitet.
Localized display only
University of Freiburg Rechenzentrum says that, when Open WebUI internal models are used, all data remains within the secured university environment, while external-model requests go through the university central API access.
Ai Tool Treatment
Normalized value: basic AI training required before Open WebUI use; terms accepted at first login
Original evidence
Evidence 1Bevor Sie Open WebUI nutzen dürfen, müssen Sie die Online-“Basisschulung KI“ auf der Lernplattform ILIAS durcharbeiten und beim erste Login die Nutzungsbedingungen akzeptieren.
Localized display only
University of Freiburg Rechenzentrum says users must complete the online basic AI training before using Open WebUI and accept the terms at first login.
Academic Integrity
Normalized value: transparent academic AI use; ask instructors; check AI output
Original evidence
Evidence 1Die Nutzung der Tools sollte im wissenschaftlichen Kontext transparent gemacht werden. Fragen Sie Ihre Dozent*innen am besten, in welchem Umfang Sie KI nutzen dürfen. Der Output muss bei allen KI-Tools konsequent geprüft werden.
Localized display only
University Library Freiburg guidance tells students that AI tool use in academic contexts should be made transparent, they should ask instructors what extent of AI use is permitted, and AI tool output must be checked consistently.
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.
3 source attribution
ub.uni-freiburg.de
rz.uni-freiburg.de
uni-freiburg.de
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 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.