Centralized Selection with Preferences in the Presence of Biases

Learn about groundbreaking research in centralized selection algorithms and their interaction with preference systems and inherent biases in this 20-minute ACM conference talk. Explore how researchers Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi, and Andrew Xu tackle the complex challenges of creating fair selection processes while accounting for both individual preferences and systemic biases. Delve into theoretical frameworks and practical applications that address the intersection of algorithmic decision-making, fairness considerations, and preference-based selection systems.