The multifaceted relationship between crime, policing, and society has long been a subject of controversy, particularly with the advent of artificial intelligence (AI) algorithms in crime prediction and predictive policing. In this intriguing episode, we have the pleasure of hosting Dr. Ishanu Chattopadhyay, whose work demonstrates how predictive models can do more than just enhance state power—they can offer an unprecedented insight into systemic biases in crime enforcement.

Dr. Chattopadhyay and his team introduce a novel stochastic inference algorithm that learns spatio-temporal dependencies from crime reports, allowing for impressive accuracy in crime forecasting. Yet, this breakthrough in prediction has far-reaching implications beyond law enforcement efficacy. It offers a powerful tool for social analysis, uncovering evidence of bias  ...