What is Artificial Social Intelligence, and how can it enhance our understanding of social interactions? What insights can new technology-based approaches provide into the complexities of human social behavior and cognition? The main objective of this course is to provide a comprehensive understanding of Artificial Social Intelligence (ASI). In the broadest sense, ASI encompasses the observation, analysis, and synthesis of social phenomena. It focuses on the perception, cognitive components, and behaviors associated with social intelligence by integrating synthetic sciences such as machine learning, computer vision, and robotics with cognitive science, psychology, neuroscience, and humanities.
This course comprises a lecture series delivered by internationally renowned speakers from various fields, providing a comprehensive understanding of ASI. Structured into three thematic blocks—Social Perception, Theory of Mind, and Social Interaction—the course program highlights different aspects of ASI. Additionally, the course will address significant challenges in the development of ASI, including ethical and societal considerations. Seminars at the beginning of each block complement the lectures, familiarizing students with upcoming lecture topics and fostering a deeper understanding of the material.
- Kursverantwortliche/r: Evaluationsbeauftragte Anne Aerts
- Kursverantwortliche/r: Jonas Frenkel
- Kursverantwortliche/r: Dirk Mende