A clear, urgent look at how opaque algorithms shape decisions in education, hiring, policing, credit, insurance, and politics—and how those systems often reinforce inequality instead of fairness.
In Weapons of Math Destruction, Cathy O’Neil argues that many of the mathematical models used in modern life are not neutral tools but powerful, unregulated systems that can deepen social inequality. Drawing on examples from schools, workplaces, financial services, criminal justice, and elections, she shows how these models often rely on hidden assumptions, weak proxies, and flawed data while still being treated as objective. Because they operate at scale and are hard to challenge, they can punish people repeatedly for being poor, marginalized, or already disadvantaged. O’Neil calls for greater responsibility from model builders, stronger oversight, and a more critical public understanding of algorithmic systems.