Policy presence
University of Göttingen has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Göttingen, Germany
University of Göttingen has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 16, 2026.
v1 public contract
University of Göttingen has 5 source-backed AI policy claims from 2 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 16, 2026. Discovery context: University of Göttingen is listed as QS 2026 rank 243.
As of this public record, University AI Policy Tracker lists University of Göttingen as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 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/university-of-gottingen.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.
University of Göttingen has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Göttingen has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of Göttingen has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
University of Göttingen has 4 source-backed public claims for exams; deterministic analysis status: restricted.
University of Göttingen has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
University of Göttingen has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Göttingen has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
University of Göttingen has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Göttingen has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
5 reviewed evidence-backed public claim
Academic Integrity
Normalized value: supervised_exams_ai_not_permitted_unless_allowed
原始证据
Evidence 1In Prüfungen unter Aufsicht (z. B. Klausuren und mündlichen Prüfungen) ist der Einsatz von KI-Werkzeugen nicht zulässig, außer er wird explizit erlaubt.
本地化显示 only
In supervised exams, AI tools are not permitted unless explicitly allowed.
Privacy
Normalized value: no_personal_data_without_anonymization_no_required_student_registration
原始证据
Evidence 1Geben Sie keine personenbezogenen Daten ein, es sei denn, diese wurden vorher sicher und vollständig anonymisiert. ... Studierende dürfen im Rahmen von Lehrveranstaltungen von Lehrenden nicht zur Nutzung, insbesondere nicht zur Registrierung, verpflichtet werden.
本地化显示 only
Do not enter personal data unless securely and completely anonymized; students may not be required to use or register for systems in courses.
Academic Integrity
Normalized value: unsupervised_exams_ai_generally_permissible_transparency_required
原始证据
Evidence 1KI-Modelle sollten in Prüfungen ohne Aufsicht grundsätzlich ein zulässiges Hilfsmittel sein ... Der Einsatz von KI-Werkzeugen muss transparent erfolgen.
本地化显示 only
In unsupervised exams, AI models should generally be permissible aids; AI-tool use must be transparent.
Teaching
Normalized value: course_ai_rules_discussed_start_semester
原始证据
Evidence 1Die Studierenden brauchen auf jeden Fall Klarheit, welche Regeln für die Verwendung von KI in den Veranstaltungen gelten. Dies muss in allen Veranstaltungen zu Beginn des Semesters mit den Teilnehmenden einer Veranstaltung besprochen werden.
本地化显示 only
Students need clarity on course AI-use rules; these should be discussed at the start of the semester.
Ai Tool Treatment
Normalized value: ai_tools_supported_with_transparency_and_competence
原始证据
Evidence 1die Universität Göttingen versteht die KI-Modelle als Werkzeuge, die benutzt werden und für deren intelligente Nutzung Studierende und Lehrende Kompetenzen erwerben müssen. Voraussetzung dafür ist ein transparenter Umgang
本地化显示 only
The University of Göttingen understands AI models as tools that are used, requiring competencies and transparent handling.
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.
2 source attribution
uni-goettingen.de
uni-goettingen.de
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