Machine learning algorithms can make inferences about our habits. But can these algorithms be biased against certain people or groups of people? Where does this bias come from? And how can we improve these algorithms? We are joined by Dr. Joshua Kroll from the University of California at Berkeley to discuss bias in machine learning algorithms in everything from your grocery store’s frequent buyer card to the Trump administration’s Extreme Vetting Initiative.