ChatGPT – Opportunity or threat?

This new technology is currently being discussed by all the University of Bayreuth’s faculties. Artificial intelligence such as ChatGPT will also permanently change teaching at universities.

The fundamental question is: Does AI represent an opportunity or a threat? The answer: both. Important opportunities lie in student skill development. You can use the technology to achieve better results, especially in research. This software can also help to develop new research questions in dialogue with the software, for example, and to match them with existing research databases in the future. In addition, students are sensitized to working with artificial intelligence and practice the critical use of computer-generated texts. However, they must be guided in how to do this. This requires a rethinking of teaching strategies and new expertise among lecturers. The University of Bayreuth also has to keep an eye on how it affects the writing of written, scientific papers. AI software will become even better in the future and can access current data from the Internet. Students could use the software to generate parts of a written paper with it.

Seminar Series

Currently, the Centre for Teaching & Learning in Higher Education (ZHL) offers and continues to develop appropriate training formats for all lecturers. There, it is also planned to integrate the students into the discussion process.


Universities should "unleash the full power of AI systems such as ChatGPT for education". This is the call of a white paper from the University of Hohenheim in Stuttgart, to which Prof Dr Torsten Eymann, CIO of the University of Bayreuth and speaker of the CIO round table of Universität Bayern e.V., contributed.

Campus licence

Access options for university members: The University of Bayreuth provides access to ChatGPT and DALL-E via the existing Microsoft 365 A3 campus licence. More detailed information can be found on the pages of the IT Service Centre.

ChatGPT will permanently change teaching, as all subjects will have to redefine what their core competencies are that they want to develop in students. Key teaching issues will be: What do students need to know and understand, how can they analyze problems of the subject, and what do they need to develop in a creative and scientific process? To what extent can AI support me in this - for example, with research, text revisions and analyses? What subject-specific skills do students need to critically analyze and evaluate AI-generated information? Because the goals of teaching change, we also design the teaching and learning processes for students accordingly, and adapt the forms of examination accordingly.

Prof. Dr. Martin Huber, Vice President for Teaching & Learning