Policy presence
Graz University of Technology has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Graz, Austria
Graz University of Technology
Graz University of Technology is listed as QS 2026 rank 427. Graz University of Technology has 5 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Graz University of Technology is listed as QS 2026 rank 427. Graz University of Technology has 5 source-backed AI policy claim records from 4 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 Graz University of Technology 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 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/graz-university-of-technology.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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Evidence includes Privacy 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.
- Privacy, sensitive-data, or security 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
Graz University of Technology has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Graz University of Technology has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Graz University of Technology has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Graz University of Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Graz University of Technology has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Graz University of Technology has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Graz University of Technology has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Graz University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
TU Graz treats AI tools in examinations as unauthorized aids unless they are explicitly permitted, and the public teaching page says unpermitted AI use in assessment can make an examination attempt invalid due to cheating.
Review: Agent reviewed
Normalized value: exams_ai_unauthorized_unless_explicitly_permitted
Original evidence
Evidence 1AI tools during an examination are considered unauthorised in accordance with the section of the statutes on scientific and artistic integrity unless they have been explicitly permitted.
Localized display only
The guideline treats AI tools during an examination as unauthorized unless explicitly permitted.
Original evidence
Evidence 2If AI tools were not permitted in the provision of services and I used them anyway? In this case, this is tantamount to the use of unauthorised aids and the examination attempt will be assessed negatively as "U Ungültig auf Grund von Täuschung" (invalid due to cheating).
Localized display only
The teaching page says unpermitted AI-tool use in assessed work is treated as unauthorized aids and can invalidate the examination attempt due to cheating.
Teaching
TU Graz says teaching staff decide whether and which AI-supported tools may be used in each course or thesis, with only spell-checking, translation, and stylistic-grammatical improvement generally permitted for students absent broader authorization.
Review: Agent reviewed
Normalized value: course_or_thesis_instructor_discretion_with_general_limited_student_use
Original evidence
Evidence 1Students may generally use AI-based tools and Large Language Models (LLMs) such as DeepL, Grammarly and LanguageTool exclusively for spell-checking, translation, and stylistic-grammatical improvement of their own texts.
Localized display only
The Rectorate guideline limits general student use to spelling, translation, and stylistic/grammatical improvement unless teachers authorize or restrict further use.
Original evidence
Evidence 2TU Graz supports and promotes the use of AI-supported tools in teaching. Teaching staff themselves determine whether and which tools may be used for each course or thesis.
Localized display only
The public teaching page states that teaching staff determine whether and which AI tools may be used for a course or thesis.
Research
TU Graz's researcher guide explicitly encourages researchers to integrate AI into research processes while applying the AI-TU rule: analyse data, interpret results critically, truth-check results, and use results responsibly.
Review: Agent reviewed
Normalized value: researchers_encouraged_to_use_ai_with_ai_tu_principles
Original evidence
Evidence 1TU Graz researchers are explicitly encouraged to integrate AI into their research processes. As the field is changing so rapidly, this guideline is designed as a "living document" and is intended to outline principles for the use of AI applications rather than provide a list of specific tools.
Localized display only
The researcher guide explicitly encourages researchers to integrate AI, while presenting the guide as principles rather than a fixed tool list.
Original evidence
Evidence 2The fundamentals for safe handling of these tools are summarised as the AI-TU rule ... Analyse the data ... Interpret the results critically ... Truth-check the results ... Use the results responsibly.
Localized display only
The central AI page summarizes TU Graz's safe-use principles as the AI-TU rule.
Privacy
TU Graz guidance requires transparent labelling of AI-supported tool use where applicable and cautions against entering personal, confidential, trade-secret, or NDA-protected data into AI applications.
Review: Agent reviewed
Normalized value: ai_use_transparency_and_sensitive_data_limits
Original evidence
Evidence 1Teachers in the teaching setting and students in examinations and written work ... are subject to the labelling obligation when using AI-supported tools and are responsible for ensuring compliance with the legal regulations.
Localized display only
The teaching guideline states a labelling obligation for AI-supported tool use in teaching, examinations, and written work contexts.
Original evidence
Evidence 2Textual information ... Never enter: trade secrets, ideas for new technologies or projects, confidential information ... Third party data ... Never enter: any data protected by a confidentiality agreement/NDA.
Localized display only
The central AI page lists categories of data that should never be entered, including trade secrets, confidential information, and NDA-protected data.
Original evidence
Evidence 3When processing personal data, first consider the possibility of anonymising the information. If this is not possible, pseudonymised data should be used ... The principle of data minimisation applies: use only data that is absolutely necessary.
Localized display only
The researcher guide says to anonymize or pseudonymize personal data where possible and follow data-minimization principles.
Ai Tool Treatment
TU Graz states that Academic AI is available to all TU Graz employees and is intended to provide a secure AI environment respecting data protection and information security.
Review: Agent reviewed
Normalized value: academic_ai_available_to_employees_secure_environment
Original evidence
Evidence 1The Academic AI is available to all TU Graz employees. The goal of this initiative is to create a secure environment for using AI while respecting data protection and information security.
Localized display only
The central AI page says Academic AI is available to all TU Graz employees and is intended as a secure environment respecting data protection and information security.
Original evidence
Evidence 2Since the end of 2025, TU Graz employees have been able to use AcademicAI not only to use a chatbot (OpenAI), but also to analyse documents and create their own knowledge database for their field of expertise. Data protection is a top priority.
Localized display only
The researcher guide says employees can use AcademicAI for chatbot, document analysis, and knowledge-base functions, with data protection as a top priority.
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 Guide for Researchers at TU Graz
tugraz.at
Artificial Intelligence (AI) at Graz University of Technology
tugraz.at
Artificial Intelligence (AI) in Teaching
tugraz.at
Guideline for the use of Artificial Intelligence (AI)-supported tools in teaching
tugraz.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.