Chapter
Algorithmic game theory in driving apps
1:28:15 - 1:37:11 (08:55)
In this episode, the guest explains his work in the field of algorithmic game theory, looking at settings in which the number of actors is potentially large, and still needing algorithmic ways of predicting or influencing what will happen in the design of platforms, such as navigation apps.
Clips
This podcast explores the field of algorithmic game theory and its connection to machine learning.
1:28:15 - 1:31:52 (03:36)
Summary
This podcast explores the field of algorithmic game theory and its connection to machine learning. It discusses the concept of predicting and influencing what happens in large systems with complicated incentives and how this framework can be applied to reach equilibrium in these systems.
ChapterAlgorithmic game theory in driving apps
EpisodeMichael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
PodcastLex Fridman Podcast
The rise of machine learning in communal platforms, such as Google Maps, Waze, and social media, has enabled them to optimize services on behalf of users by predicting traffic, personalized products, and user preferences through data analysis.
1:31:52 - 1:37:11 (05:19)
Summary
The rise of machine learning in communal platforms, such as Google Maps, Waze, and social media, has enabled them to optimize services on behalf of users by predicting traffic, personalized products, and user preferences through data analysis.