Computer algorithms can be a double-edged sword. On the one hand, they have the power to transform our understanding of economic policy and social phenomena — from ride-sharing technology, to election prediction, to YouTube recommender systems, to tax policies. Conversely, algorithms can harbor hidden biases. And since modern machine learning systems are often too complex for humans to understand, we may not even recognize when and how algorithms are discriminating against minority populations. In this episode, Harvard computer science professor David Parkes walks us through his research at the intersection of economics and CS, and explains how to leverage the benefits of algorithms without compromising on fairness. Presented by the Harvard Crimson. Hosted by Katelyn Li and Sanjana Narayanan. Produced by Amanda Su. Podcast art by Margot Shang.