AI for Social Good, by Fei Fang (CMU+C&S Confluence Series)

AI for Social Good:
Integrating Learning with Game Theory for Societal Challenges

By Fei Fang, Assistant Professor, School of Computer Science @ CMU

There is a rising interest in developing artificial intelligence-based tools to address challenges in various security domains, e.g., protecting critical infrastructure and cyber networks and protecting wildlife, fishery, and forest. Motivated by these challenges, we have proposed game theory and machine learning based models and algorithms for problems with strategic interactions among agents. In this talk, I will introduce our models and algorithms that have led to two successfully deploy applications: one used by US Coast Guard for protecting the Staten Island Ferry in New York City since April 2013, the other used in multiple conservation areas around the world for anti-poaching effort. In addition, I will highlight our most recent advances in integrating deep learning with game theory, including computing equilibrium by learning from self-play and end-to-end learning of game parameters.

Bio:
Fei Fang is an Assistant Professor at the Institute for Software Research in the School of Computer Science at Carnegie Mellon University.
Her research lies in the field of artificial intelligence and multi-agent systems, focusing on integrating game theory and mechanism design with machine learning. Her work has been motivated by and applied to security, sustainability, and mobility domains, contributing to the theme of AI for Social Good. Her work has been deployed by the US Coast Guard for protecting the Staten Island Ferry in New York City since April 2013. Her work has led to the deployment of PAWS (Protection Assistant for Wildlife Security) in multiple conservation areas around the world, which provides predictive and prescriptive analysis for anti-poaching effort.

About the CMU+C&S Confluence Talk Series:

From AI-powered computer vision to ultra-massive distributed systems, the interwoven nature of the research/practice dynamic can’t be understated.

Confluence is a talk series that grabs that dynamic by the horns.

Jointly produced by Carnegie Mellon University’s Institute for Software Research and Code & Supply, Confluence is a free tech talk series will bring together Pittsburgh’s most bleeding-edge researchers and influential front-line developers to learn, inform, guide, and inspire one another.

Info about the event:

Light food and beverages will be provided.
Please bring identification!