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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Rs. 2,790.00

Cathy O’Neil
Longlisted for the National Book Award | New York Times Bestseller
A New York Times Book Review Notable Book of 2016
A Boston Globe Best Book of 2016
One of Wired‘s Required Reading Picks of 2016
One of Fortune‘s Favorite Books of 2016
A Kirkus Reviews Best Book of 2016
A Chicago Public Library Best Book of 2016
A Nature.com Best Book of 2016
An On Point Best Book of 2016
New York Times Editor’s Choice
A Maclean‘s Bestseller
Winner of the 2016 SLA-NY PrivCo Spotlight Award
“Cathy O’Neil has seen Big Data from the inside, and the picture isn’t pretty. Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools. This book is wise, fierce, and desperately necessary.”
—Jordan Ellenberg, University of Wisconsin-Madison, author of How Not To Be Wrong
“This is a manual for the 21st-century citizen, and it succeeds where other big data accounts have failed—it is accessible, refreshingly critical and feels relevant and urgent.”
—Financial Times
“Weapons of Math Destruction is the Big Data story Silicon Valley proponents won’t tell…. [It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics…. a thought-provoking read for anyone inclined to believe that data doesn’t lie.”
—Reuters
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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.
About the Author
Binding | Paperback |
---|---|
Pages | 272 |
Publisher | Penguin |
Published Year | 2016 |
ISBN | 978-0141985411 |
Dimensions | 12.9 x 1.6 x 19.8 cm |
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