Policy presence
Karl-Franzens-Universitaet Graz has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Graz, Austria
Karl-Franzens-Universitaet Graz
Karl-Franzens-Universitaet Graz has 5 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.
Karl-Franzens-Universitaet Graz AI policy short answer
v1 public contract
Karl-Franzens-Universitaet Graz has 5 source-backed AI policy claims from 4 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 18, 2026. Discovery context: Karl-Franzens-Universitaet Graz is listed as QS 2026 rank =668.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Karl-Franzens-Universitaet Graz as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/karl-franzens-universitaet-graz.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 Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- No specific AI service name is highlighted by the current public claim text.
- 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
Karl-Franzens-Universitaet Graz has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Karl-Franzens-Universitaet Graz has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Karl-Franzens-Universitaet Graz has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Karl-Franzens-Universitaet Graz has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Approved tools
Karl-Franzens-Universitaet Graz has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Karl-Franzens-Universitaet Graz has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Karl-Franzens-Universitaet Graz has 2 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
Teaching
The Vice-Rectorate orientation guidelines say teachers are responsible for deciding which text-generating AI systems may be used in what form, and that the scope and form of use should be stated in the course description before the course starts.
Review: Agent reviewed
Normalized value: teacher_responsibility_course_description
Original evidence
Evidence 1The decision as to which text-generating AI systems may be used in what form is the responsibility of the teacher. The scope and form of use must be explicitly stated in the course description and made known to the students before the start of the course.
Academic Integrity
For assessed writing, University of Graz guidance says AI use should be transparent: students should label and document AI use and follow the AI guidelines of the relevant course.
Review: Agent reviewed
Normalized value: document_and_label_ai_use
Original evidence
Evidence 1It is crucial to consider the following points when using AI in your writing: Use AI only according to the AI guidelines of the respective course; Label and document AI use; Check the content of all AI-generated information.
Ai Tool Treatment
The University of Graz does not set a blanket prohibition on AI technologies for writing assignments; lecturers decide for each course which text-generating AI systems may be used and how.
Review: Agent reviewed
Normalized value: lecturer_determined_ai_use
Original evidence
Evidence 1The University of Graz has decided not to prohibit the use of AI technologies. However, the University's orientation guidelines stipulate that lecturers can determine "which text-generating AI systems may be used and in what way".
Ai Tool Treatment
The University of Graz identifies uniGPT for employees and studiGPT for students as data-protection-friendly university chatbots accessed with a personal Uni Graz account.
Review: Agent reviewed
Normalized value: unigpt_staff_studigpt_students
Original evidence
Evidence 1uniGPT is the AI-supported chatbot for employees of the University of Graz and has been available since May 2024. In May 2025, studiGPT was introduced as a further variant especially for students of the university. Log in with your personal Uni Graz account.
Teaching
University of Graz teacher guidance says that when generative AI is used in assessments, teachers should make the permitted form and extent of use and the documentation form transparent in advance.
Review: Agent reviewed
Normalized value: assessment_ai_transparency
Original evidence
Evidence 1Ist die Verwendung von generativer Künstlicher Intelligenz erwünscht oder gar nötig, um die Lernergebnisse zu erreichen, sind die gelisteten Prüfungsformate möglich. Nutzungsform und -ausmaß von generativer künstlicher Intelligenz sowie die Dokumentationsform müssen aber natürlich im Vorhinein definiert und kommuniziert werden.
Localized display only
If the use of generative AI is desired or necessary for learning outcomes, the form and extent of use and the documentation form should be defined and communicated in advance.
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
4 source attribution
AI Tools at the Uni Graz
lehren-und-lernen-mit-ki.uni-graz.at
Orientation guidelines for dealing with text-generating AI systems at the University of Graz
static.uni-graz.at
Prüfungsdesign & Generative Künstliche Intelligenz
lehren-und-lernen-mit-ki.uni-graz.at
Writing with AI FAQ
lehren-und-lernen-mit-ki.uni-graz.at
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.