Armas de destrucción matemática
Cómo el big data aumenta la desigualdad y amenaza la democracia
by Cathy O'Neil
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Vivimos en la edad del algoritmo. Las decisiones que afectan a nuestras vidas no están hechas por humanos, sino por modelos matemáticos. En teoría, esto debería conducir a una mayor equidad: todos son juzgados de acuerdo con las mismas reglas, sin sesgo. Pero en realidad, ocurre exactamente lo contrario. Los modelos que se utilizan en la actualidad son opacos, no regulados e incontestables, incluso cuando están equivocados. Esto deriva en un refuerzo de la discriminación: si un estudiante pobre no puede obtener un préstamo porque un modelo de préstamo lo considera demasiado arriesgado (en virtud de su código postal), quedará excluido del tipo de educación que podría sacarlo de la pobreza, produciéndose una espiral viciosa. Los modelos apuntalan a los afortunados y castigan a los oprimidos: bienvenido al lado oscuro del big data.
O’Neil expone los modelos que dan forma a nuestro futuro, como individuos y como sociedad. Estas «armas de destrucción matemática» califican a maestros y estudiantes, ordenan currículos, conceden (o niegan) préstamos, evalúan a los trabajadores, se dirigen a los votantes, fijan la libertad condicional y monitorean nuestra salud.
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Subjects
math, big data, inequality, democracy, Social indicators, Moral and ethical aspects, Social conditions, Mathematical models, Data mining, Algorithms, Mathematics, award:euler_book_prize, nyt:education=2016-10-09, New York Times bestseller, Human behavior, mathematical models, Computer algorithms, Computers, social aspects, Données volumineuses, Aspect social, Aspect politique, Indicateurs sociaux, Modèles mathématiques, Aspect moral, Conditions sociales, COMPUTERS, Data Modeling & Design, Political aspects, Social aspects, Human behaviorTimes
2017Showing 3 featured editions. View all 15 editions?
| Edition | Availability |
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1
Armas de destrucción matemática: Cómo el big data aumenta la desigualdad y amenaza la democracia
2018, Capitán Swing
Encuadernación rústica con solapas
in Spanish
8494740849 9788494740848
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2
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Sep 05, 2017, Broadway Books, Crown
Paperback
in English
0553418831 9780553418835
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3
Weapons of Math Destruction: how big data increases inequality and threatens democracy
2016, Allen Lane
Paperback
in English
0241296811 9780241296813
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A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric
We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.
But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.
Tracing the arc of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.
O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
— Longlist for National Book Award (Non-Fiction)
— Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)
— Kirkus, Best Books of 2016
— New York Times, 100 Notable Books of 2016 (Non-Fiction)
— The Guardian, Best Books of 2016
— WBUR’s “On Point,” Best Books of 2016: Staff Picks
— Boston Globe, Best Books of 2016, Non-Fiction
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- Created April 28, 2018
- 6 revisions
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| March 10, 2024 | Edited by bitnapper | Merge works |
| March 6, 2021 | Edited by Stew | Add euler book prize. |
| August 22, 2020 | Edited by ISBNbot2 | normalize ISBN |
| April 28, 2018 | Edited by RoboePi | Added new cover |
| April 28, 2018 | Created by RoboePi | Added new book. |