CSRAI Young Achievers Lecture: Addressing societal challenges through game theory to be held Feb. 16

Chun Kai Ling, a doctoral student at Carnegie Mellon University, will present a free public lecture titled “Towards Scalable Game Theoretic Approaches for Addressing Societal Challenges" at 3:30 p.m. Thursday, Feb. 16. The lecture is part of the Young Achievers Symposium series hosted by the Center for Socially Responsible Artificial Intelligence and will be held in E213 Westgate Building and live via Zoom View Webinar. No registration is required.

Ling’s research interest is in machine learning for noncooperative games, with a focus on inverse game theory and scalable solvers for large general-sum games. His talk will discuss directions to address core two challenges in realizing the full potential of game theory: reasoning about games where game parameters are not available upfront, and efficiently solving large general-sum games seen in real-world applications.

The Young Achievers Symposium series highlights early career researchers in diverse fields of AI for social impact and will continue throughout the spring, with each talk beginning at 3:30 p.m.:

• Thursday, Feb. 23 - Chinasa T. Okolo, Cornell University
• Thursday, March 23 - Lily Xu, Harvard University
• Thursday, April 6 - Christine Herlihy, University of Maryland, College Park
• Thursday, April 20 - Serena Wang, University of California, Berkeley

Previous lectures in the series can be viewed at the Center for Socially Responsible Artificial Intelligence website.

For more information, contact Amulya Yadav, assistant professor in the College of Information Sciences and Technology, at auy212@psu.edu.

About the Center for Socially Responsible Artificial Intelligence

Penn State’s Center for Socially Responsible Artificial Intelligence aims to enhance interdisciplinary education, research, and outreach in artificial intelligence; its applications; and its impact on work, society, and all aspects of our daily lives. Launched in April 2020 and housed administratively in the College of Information Sciences and Technology, the Center aims to promote, practice and study socially responsible ways of building, deploying and using AI technology, with an emphasis on understanding the social and ethical implications of these activities. The Center also supports and encourages activities that enhance social good through the ethical use of AI and efforts that can mitigate threats from its misuse.