Preference for Perfection in Forecasting and Decision-Making

Algorithms are everywhere. They curate our music playlists, guide our online shopping—and, increasingly, dominate the news. But while most of us have accepted the idea of algorithms making, or helping make, some of the mundane decisions in our day-to-day lives, when do we prefer human discretion to the inscrutable judgment of A.I.? And how do we keep algorithms, some of which are tasked with making predictions that are far from mundane, from exacerbating existing problems of bias and inequality? On this episode of the Chicago Booth Review Podcast, we explore questions about the role of A.I. in society.