Chair of Machine Learning and Uncertainty Quantification

The Chair is dedicated to analysing data as a central resource for machine learning applications and as a decisive competitive factor and driver of innovation in digital markets. Research focuses on the economic impact of AI-based systems, the strategic implications of data-driven business models, the interaction between humans and AI, the explainability and acceptance of machine learning methods, empirical data protection issues and the technical and economic regulation of artificial intelligence. The measurement of uncertainty and its impact on machine learning methods are of central importance in these fields of research.