In this course, students will be exposed to cutting-edge research in the field of Machine Behavior, which is a field at the intersection of Artificial Intelligence and Behavioral Science.
The course will involve both a hands-on learning segment on computational social science methods and behavioral science theories and experiments. Students will lead presentations and discussions on a selection of significant papers in the field. Students will also prepare a brief research proposal for a new idea that they present at the end of the semester.
Students will explore key research in the interdisciplinary field of Machine Behaviour, covering topics such as the impact of AI on cultural evolution, the behavior and reasoning of Large Language Models (LLMs), and how we can build AI to promote cooperation and creativity.
- Trainer/in: Rodrigo Bermudez Schettino
- Trainer/in: Levin Urs Leonard Brinkmann
- Trainer/in: Mengchen Dong
- Trainer/in: Omar Sherif Omar Sherif
- Trainer/in: Iyad Rahwan
- Trainer/in: Eva-Madeleine Schmidt