Fostering Cooperation via Fairness in AI Systems

Explore the intersection of fairness and cooperation in AI systems through this lecture delivered at the 2023 Cooperative AI Summer School. Delve into the research of Nisarg Shah, an associate professor of computer science at the University of Toronto, recognized for his innovative work in AI. Discover how theoretical foundations for fairness are being developed in fields such as voting, resource allocation, and machine learning. Learn about practical applications of fair decision-making through not-for-profit websites like Spliddit.org and RoboVote.org, which have assisted over 200,000 users. Gain insights into addressing issues of fairness, efficiency, elicitation, and incentives that arise when humans are affected by algorithmic decision-making. Understand the importance of fostering cooperation through fair AI systems and their potential impact on everyday life.