Cathy O’Neil Books
Cathy O’Neil es una matemática, científica de datos y autora estadounidense. Obtuvo su doctorado en matemáticas en Harvard y ha trabajado en el ámbito académico, financiero y tecnológico.
Known for: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Books by Cathy O’Neil
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Weapons of Math Destruction is a powerful critique of the modern belief that algorithms are naturally objective, efficient, and fair. In this book, mathematician and data scientist Cathy O’Neil argues that many of the models now used to rank schools, screen job applicants, set insurance prices, predict criminal behavior, target voters, and approve loans are not neutral tools at all. Instead, when they are opaque, unaccountable, and deployed at massive scale, they can deepen inequality, punish the poor, and undermine democratic life. O’Neil calls these systems “Weapons of Math Destruction,” or WMDs, because they combine technical authority with real-world harm. What makes the book especially compelling is O’Neil’s perspective: she is not an outsider criticizing technology from afar, but a trained mathematician with experience in academia, hedge funds, and data science. She understands both the elegance of mathematical models and the incentives that distort their use. The result is a clear, urgent, and highly relevant book that helps readers see how automated decision-making shapes everyday life—and why we must demand transparency, fairness, and accountability from the systems governing us.
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The Seductive Promise of Big Data
One of the most dangerous myths in modern society is that numbers do not lie. When big data rose to prominence, it arrived with a hopeful promise: decisions could become more rational, less biased, and more meritocratic. Instead of relying on flawed human judgment, institutions could use evidence, p...
From Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
What Makes a Model Destructive
Not all algorithms are harmful, and O’Neil is careful to draw that distinction. A recommendation engine that suggests movies is inconvenient when it fails; a model that determines whether someone gets a job, loan, parole hearing, or affordable insurance can reshape a life. O’Neil reserves the term “...
From Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Education Rankings Shape Unequal Futures
When a ranking becomes a target, it stops being a neutral measure and starts changing behavior. O’Neil uses education to show how metrics that appear informative can distort institutions and deepen inequality. College rankings, teacher evaluations, and school performance scores promise clarity for p...
From Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Hiring Algorithms Can Automate Exclusion
A job application rejected in seconds may feel efficient, but efficiency is not the same as fairness. O’Neil shows how employers increasingly use personality tests, résumé filters, productivity metrics, and behavioral scoring systems to sort workers before a human ever sees them. These tools are mar...
From Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Credit Systems Reward and Punish Poverty
Financial models are often presented as simple tools for managing risk, but risk scoring can become a way of charging the vulnerable more for being vulnerable. O’Neil examines credit scoring, loan underwriting, insurance pricing, and other financial systems to show how models can lock people into di...
From Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Predictive Policing Distorts Justice
When algorithms enter criminal justice, the cost of error becomes profound. O’Neil argues that predictive policing tools, recidivism scores, and sentencing models often claim scientific neutrality while reproducing historical patterns of unequal enforcement. If police have historically concentrated ...
From Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
About Cathy O’Neil
Cathy O’Neil es una matemática, científica de datos y autora estadounidense. Obtuvo su doctorado en matemáticas en Harvard y ha trabajado en el ámbito académico, financiero y tecnológico. Es conocida por su activismo en favor de la ética en el uso de datos y por su labor divulgativa sobre los riesgo...
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Cathy O’Neil es una matemática, científica de datos y autora estadounidense. Obtuvo su doctorado en matemáticas en Harvard y ha trabajado en el ámbito académico, financiero y tecnológico. Es conocida por su activismo en favor de la ética en el uso de datos y por su labor divulgativa sobre los riesgo...
Cathy O’Neil es una matemática, científica de datos y autora estadounidense. Obtuvo su doctorado en matemáticas en Harvard y ha trabajado en el ámbito académico, financiero y tecnológico. Es conocida por su activismo en favor de la ética en el uso de datos y por su labor divulgativa sobre los riesgos sociales de la inteligencia algorítmica.
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Cathy O’Neil es una matemática, científica de datos y autora estadounidense. Obtuvo su doctorado en matemáticas en Harvard y ha trabajado en el ámbito académico, financiero y tecnológico.
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