Graz, Austria

Graz University of Technology

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Affirmations révisées

5 reviewed claims

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.

Révision: Révisé par un agentConfiance95%

Valeur normalisée: exams_ai_unauthorized_unless_explicitly_permitted

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Preuve 1
AI 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.

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The guideline treats AI tools during an examination as unauthorized unless explicitly permitted.

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Preuve 2
If 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).

Affichage localisé 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.

Enseignement

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.

Révision: Révisé par un agentConfiance94%

Valeur normalisée: course_or_thesis_instructor_discretion_with_general_limited_student_use

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Preuve 1
Students 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.

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The Rectorate guideline limits general student use to spelling, translation, and stylistic/grammatical improvement unless teachers authorize or restrict further use.

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TU 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.

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The public teaching page states that teaching staff determine whether and which AI tools may be used for a course or thesis.

Recherche

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.

Révision: Révisé par un agentConfiance94%

Valeur normalisée: researchers_encouraged_to_use_ai_with_ai_tu_principles

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Preuve 1
TU 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.

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The researcher guide explicitly encourages researchers to integrate AI, while presenting the guide as principles rather than a fixed tool list.

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The 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.

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The central AI page summarizes TU Graz's safe-use principles as the AI-TU rule.

Confidentialité

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.

Révision: Révisé par un agentConfiance93%

Valeur normalisée: ai_use_transparency_and_sensitive_data_limits

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Preuve 1
Teachers 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.

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The teaching guideline states a labelling obligation for AI-supported tool use in teaching, examinations, and written work contexts.

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Preuve 2
Textual 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.

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The central AI page lists categories of data that should never be entered, including trade secrets, confidential information, and NDA-protected data.

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When 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.

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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.

Révision: Révisé par un agentConfiance90%

Valeur normalisée: academic_ai_available_to_employees_secure_environment

Preuve originale

Preuve 1
The 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.

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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.

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Since 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.

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The researcher guide says employees can use AcademicAI for chatbot, document analysis, and knowledge-base functions, with data protection as a top priority.

Source record

Sources officielles

4 sources

Record information, JSON & citation
Révisionagent reviewedConfiance95%Snapshot statusNon publiéJSONJSON public

Citation: University AI Policy Tracker. "Graz University of Technology AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/graz-university-of-technology

Original university source language remains canonical. This tracker is not an official university statement.

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