Algorithms improve our daily lives by filtering spam emails and curating our social media feeds, but they're also used to recommend prison sentences, identify top job candidates, or guide autonomous vehicles. With each application, the risk of algorithmic bias varies from harmless inconvenience to life threatening and criminal. This case highlights key examples of unwanted bias in algorithms, outlines where the bias comes from, and presents several ways to begin combating this bias.
