PredPol Crime Predictions Target Poor, Blacks, Latinos, byAaron Sankin, Dhruv Mehrotra, Surya Mattu, Dell Cameron, Annie Gilbertson, Daniel Lempres, and Josh Lash
▻https://gizmodo.com/crime-prediction-software-promised-to-be-free-of-biases-1848138977
These communities weren’t just targeted more—in some cases, they were targeted relentlessly. Crimes were predicted every day, sometimes multiple times a day, sometimes in multiple locations in the same neighborhood: thousands upon thousands of crime predictions over years. A few neighborhoods in our data were the subject of more than 11,000 predictions. The software often recommended daily patrols in and around public and subsidized housing, targeting the poorest of the poor. “Communities with troubled relationships with police—this is not what they need,” said Jay Stanley, a senior policy analyst at the ACLU Speech, Privacy, and Technology Project. “They need resources to fill basic social needs.” Source: (...)