392133 Human-Centric Machine Learning (S) (SoSe 2026)

Human-Centric Machine Learning concerns the design of machine learning algorithms and models for interaction with humans in real-world scenarios. The seminar will cover foundational and current research on human-centric machine learning topics, namely explainability, interpretability, fairness, and interactive machine learning. We will discuss definitions, methods for achieving human-centric machine learning, and practical application cases. Students will be expected to
1) give a presentation on one subtopic of the seminar, 2) actively participate in discussing the presentations of other students, and 3) write an essay of 5-15 pages on their topic.

In this course, the use of AI tools is permitted provided that you are transparent about the use and can still scientifically defend your work. Undeclared AI use will be sanctioned.