Research at the pulse of time
The chair is dedicated to research on topics relevant to the future. The increasing digitalization of all areas of life offers a wealth of new developments that need to be understood in order to meet global challenges, such as demographic change, climate change, globalization, or rural exodus.

Profile of the Chair
Core research areas
- Design of Intelligent Systems: Socio-technical design of intelligent information systems based on modern data science technologies (e.g. deep learning, generative AI, process mining, natural language processing, computer vision)
- Explainable Artificial Intelligence: Development of algorithmic innovations in the field of intrinsically interpretable AI and machine learning models (e.g. Generalized Additive Models, Optimal Decision Trees) as well as post-hoc analytical explanation methods for black-box models (e.g. based on SHAP or LIME)
- Applied Machine Learning: Application and benchmarking of modern machine learning algorithms in various application domains (e.g. healthcare, production, finance)
- Human-AI Interaction: Empirical investigation of human perception and use of AI systems through user-centered experimental studies (e.g. to investigate algorithm aversion vs. algorithm appreciation)