Research groups of the Faculty of Technology

The research group Knowledge Representation and Machine Learning (KML, pronounce: 'camel') conducts research at the interface between human knowledge and machine learning. Our key questions are: How can we improve machine learning with human prior knowledge? How can we make machine learning models and decisions understandable for humans? And: How can we use machine learning to increase human knowledge? To make human knowledge machine-readable, we represent human knowledge as structured data, such as grammars and knowledge graphs.

What is our research good for? Our main field of application is education. For example, we develop methods which can automatically help students with homework; which can individually select which task should be processed next; and which support teachers in planning their lessons. Since the field of education is highly sensitive, we develop methods that enable a responsible, transparent and fair use of AI.