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.
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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)