Artificial intelligence and university
"Generative AI" refers to automatic systems that generate independent content whose origin is not obvious to the automatic system. Independent content includes, for example, texts (prose, programme code, etc.), images (individual images or videos), sounds or multimedia content.
FAQs on the topic of AI at the University of Innsbruck
... are intended to provide an orientation framework on the topic of artificial intelligence (AI) for students, teachers and researchers at the University of Innsbruck.
Information on the topic of AI & digital teaching
How can generative AI tools be used in teaching? How can they support teachers? What needs to be considered? You can find more information on this topic in our self-study course Crash Course E-Didactics in OpenOlat.
AI events and training courses
5 June 2024, 18:00 - 21:00 hrs
Experimenting with AI tools
Digital Science Center (DiSC) invites you to an interactive workshop at the Innsbruck City Library, Amraser Straße 2.
Further information
14 and 15 June 2024
Automation with AI: Efficient business processes and application strategies
The new university continuing education course will take place on 14 June 2024 in the afternoon and 15 June 2024 all day.
Further information
Theme café
As part of the open DMLT mentoring course, the teaching community is regularly offered themed café events aimed at promoting the exchange of experiences among teachers, including on the topic of AI.
To the theme café in OLAT
Further information and documents
Under the following link you will find an overview of examples from other universities and colleges for dealing with and using artificial intelligence in teaching and research.
Digitalisation and the use of new technologies, above all artificial intelligence (AI), are constantly increasing and transforming socio-economic developments. It is the task of colleges and universities to take a critical look at the further development of these technologies in both research and teaching, but also at the effects and the resulting changes.
The aim of these guidelines is to promote trustworthy AI. A trustworthy AI is characterised by three components that should be fulfilled throughout the entire life cycle of the system:
- It should be lawful and thus comply with all applicable laws and regulations,
- it should be ethical and thus guarantee compliance with ethical principles and values, and
- it should be robust, both technically and socially, as AI systems can cause unintended harm even with good intentions.
Since March 2024, the European Commission and the European Research Area (ERA) have issued guidelines on the responsible use of AI in research.
To the information page on the publication of the guidelines
Contact points
Vice-Rectorate for Digitalisation and Sustainability