Predictive policing technology is spreading across the country, and Los Angeles is the epicenter. A small group of LA activists are in a lopsided campaign against billions of dollars in city, federal, and Silicon Valley money using algorithms to predict where and when the next crime is going to occur, and even who the perpetrators are going to be. Barry embeds with the Stop LAPD Spying coalition for a week in Skid Row and investigates how state-of-the-art predictive policing programs work. He then talks to sociologists and philosophers about how big data is changing the relationship between police and the communities they serve. We then turn to the justice of using statistical predictions for the purposes of profiling and police intervention. This is part 1 of 2 on the use of statistical algorithms in criminal justice. Guest voices include the LAPD police commissioners, Hamid Khan, Jamie Garcia, Sarah Brayne, Flora Salim, and Renee Bolinger.Join Slate Plus to unlock full, ad-free access to Hi-Phi Nation and the rest of your favorite Slate podcasts. Subscribe directly from the Hi-Phi Nation show page on Apple Podcasts or Spotify. Or, visit slate.com/hiphiplus to get access wherever you listen.This episode is brought to you by Care/Of. For 50% off your first month of personalized Care/of vitamins, go to TakeCareOf.com and enter promo code HIPHI50 at check out. Hosted on Acast. See acast.com/privacy for more information.

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