Predictive-policing technology is spreading across the country, and Los Angeles is the epicenter. A small group of L.A. activists are in a lopsided campaign against billions of dollars in city, federal, and Silicon Valley money implementing software that predicts where and when the next crime is going to occur, and who are the likeliest perpetrators. Barry embeds with the Stop LAPD Spying coalition for a week in Skid Row, investigates how state-of-the-art predictive-policing programs work, and 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, prediction, and police intervention. This is Part 1 of 2 on the use of statistical algorithms in criminal justice. Guest voices include LAPD police commissioners, Hamid Khan, Jamie Garcia, Sarah Brayne, Flora Salim, and Renee Bollinger.
In Slate Plus: Barry talks to Sarah Brayne about the possibility of using surveillance technology to monitor police officers themselves.