The Ethics of Predictive Policing
Moral Questions in Modern Law Enforcement

About this book:

From the precincts of Los Angeles to the streets of London, a quiet revolution has replaced the beat cop's intuition with probabilistic heat maps and risk-terrain models. *The Ethics of Predictive Policing* pulls back the curtain on the algorithmic engines now deciding which neighborhoods get flooded with patrols and which citizens are scored as threats before they commit a crime. With surgical precision, the book exposes how systems sold as neutral "force multipliers" launder decades of biased enforcement data into seemingly objective forecasts—creating self-fulfilling prophecies that cement inequality behind a veneer of mathematical authority.

This is not a Luddite's manifesto. It is a rigorous, interdisciplinary dissection of the moment public safety was privatized, due process was outsourced to proprietary black boxes, and the presumption of innocence was quietly reframed as an actuarial calculation. Traversing moral philosophy, constitutional law, and the hidden mechanics of machine learning, the book reveals why "data-driven" does not mean "bias-free," why corporate trade secrets now shield the logic of state coercion, and how automation bias makes officers defer to algorithms they cannot interrogate. The stakes are nothing less than the social contract itself.

Balancing the genuine imperative of safety with the non-negotiable demands of liberty, *The Ethics of Predictive Policing* offers the definitive roadmap for the coming fight over democratic oversight, algorithmic transparency, and the right to an explanation when the state knocks on your door because a model said so. Essential reading for policymakers, legal scholars, technologists, and any citizen who believes justice cannot be computed—only defended.