Event details

Text-generating AI is now used in all areas of society. However, universities are lagging behind this development. There is still uncertainty as to whether text-generating AI can be used for writing at university – and if so, for which specific scenarios. In view of the high energy consumption and other ethical aspects, the question also arises as to whether and to what extent the use of text-generating AI is justifiable.

In this workshop, we would like to use good scientific prompting to focus on the performance of text-generating AI for scientific writing: What writing tasks is AI suitable for? What needs to be considered when using it? And which usage strategies lead to success? We also want to clarify where the limitations of AI-based writing lie, which pitfalls need to be considered and which tasks should definitely not be solved with text-generating AI.

In addition to input lectures on the questions listed here, the workshop will also include practical writing exercises that train the responsible use of text-generating AI.

Workload for ECTS:

1 ECTS: One-day workshop with online parts and written reflection report or adequate performance

Lecturer:

Kevin Schumacher is a Germanist (M.A.) and studied at the University of Mannheim and the Karlsruhe Institute of Technology. He has been a research assistant at the Writing Lab of the House of Competence (HoC) since 2022. In cooperation with the KIT library, he develops online courses on collaborative scientific research and writing. Since 2024, he has also been an employee at the Office for Good Scientific Practice and Ethical Principles at the KIT Library.

Lisa Sielaff studied German Studies (M.A.) at the Karlsruhe Institute of Technology and has been a research assistant at the Writing Lab of the House of Competence (HoC) since 2022. Here she is involved in the conception of online courses on collaborative writing and research and supervises the training of the writing lab’s writing consultants