Game Theory and Machine Learning for Addressing Societal Challenges

Explore game theory and machine learning applications for tackling societal challenges in this 56-minute lecture from the 2024 Cooperative AI Summer School. Delve into the research of Fei Fang, Leonardo Assistant Professor at Carnegie Mellon University, as she discusses integrating machine learning with game theory to address issues in security, sustainability, and mobility. Learn how these AI techniques contribute to social good from an award-winning expert in artificial intelligence and multi-agent systems. Gain insights into cutting-edge approaches that combine computational methods to solve complex real-world problems and advance the field of AI for societal benefit.

Game Theory and Machine Learning for Addressing Societal Challenges by Fei Fang