What Research Really Says About AI in Policing

AI is moving from the lab to the street, powering everything from threat detection and cybercrime response to emergency management. In this episode, we unpack what the latest research says about AI in policing: its promise to reduce human bias and make decisions more consistent; the surge in OSINT and smart-city tools; and why explainable AI, strong legal guardrails, and public trust are non-negotiable. We explore how data-driven policing can improve safety while confronting real risks: algorithmic bias, opaque models, and surveillance overreach, etc., and why cross-disciplinary collaboration (technologists, police leaders, policymakers, and communities) is the only path to responsible adoption. If you’ve ever wondered whether algorithms can make policing fairer, or just faster, this episode separates the hype from the hard questions. Note that we will also irritatingly attempt to cite our sources within the podcast... not sorry.