
Weapons of Math Destruction
How Big Data Increases Inequality and Threatens Democracy
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Narrado por:
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Cathy O'Neil
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De:
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Cathy O'Neil
NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric—with a new afterword
“A manual for the twenty-first-century citizen . . . relevant and urgent.”—Financial Times
NATIONAL BOOK AWARD LONGLIST • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review • The Boston Globe • Wired • Fortune • Kirkus Reviews • The Guardian • Nature • On Point
We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.
But as mathematician and data scientist Cathy O’Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination—propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.
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“O’Neil’s book offers a frightening look at how algorithms are increasingly regulating people. . . . Her knowledge of the power and risks of mathematical models, coupled with a gift for analogy, makes her one of the most valuable observers of the continuing weaponization of big data. . . . [She] does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives.”—The New York Times Book Review
"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
“This is a manual for the twenty-first century citizen, and it succeeds where other big data accounts have failed—it is accessible, refreshingly critical and feels relevant and urgent.”—Financial Times
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One of today's most important and most exciting fields, data science incorporates statistics, algorithms, scientific methods, programming skills, and more to draw insights and value from data for everything from creating targeted marketing campaigns to advancing medical research. Want to know more about this interdisciplinary study? We've used our own analytical skills to select the very best data science audiobooks and podcasts to be your guide.
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interesting read
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Eye-opening research!
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Intriguing
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Not bad, but...
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A must-read (listen) for anyone who uses big data to make determinations about how others get to live, work or thrive. A must-read for anyone who’s applied for an education, a loan, a mortgage or a job. (Almost everyone?)
Raises great questions and gives context
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great story, poor performance
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Math Gone Wrong
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Thought provoking
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the author exposes a threat to our society
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Educated and essential
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