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[O'Neil, Cathy]のWeapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
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紙の本の長さ: 290ページ Word Wise: 有効 タイプセッティングの改善: 有効
Page Flip: 有効 言語: 英語
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内容紹介

Longlisted for the National Book Award
New York Times Bestseller

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

レビュー

Fascinating and deeply disturbing (Yuval Noah Harari Guardian Books of the Year)

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 (Federica Cocco Financial Times)

Well-written, entertaining and very valuable (Danny Dorling Times Higher Education)

O'Neil has become a whistle-blower for the world of Big Data... Her work makes particularly disturbing points about how being on the wrong side of an algorithmic decision can snowball in incredibly destructive ways (Time)

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, author of How Not To Be Wrong)

Weapons of Math Destruction is a fantastic, plainspoken call to arms. Cathy O'Neil's book is important precisely because she believes in data science. It's a vital crash course in why we must interrogate the systems around us and demand better (Cory Doctorow, author of Little Brother and co-editor of Boing Boing)

Often we don't even know where to look for those important algorithms, because by definition the most dangerous ones are also the most secretive. That's why the catalogue of case studies in O'Neil's book are so important; she's telling us where to look (Guardian)

In today's world, if you want to change your fate you've got to pray at the altar of the algorithm... As math guru Cathy O'Neil argues in her newest book, these models are just the latest way America's institutions perpetuate bias and prejudice to reward the rich and keep the poor, well, poor. It's a nuanced reminder that big data is only as good as the people wielding it (Wired)

Not math heavy, but written in an exceedingly accessible, almost literary style; her fascinating case studies of WMDs fit neatly into the genre of dystopian literature. There's a little Philip K. Dick, a little Orwell, a little Kafka in her portrait of powerful bureaucracies ceding control of the most intimate decisions of our lives to hyper-empowered computer models riddled with all of our unresolved, atavistic human biases (Chris Jackson Paris Review)

O'Neil is an ideal person to write this book... She is one of the strongest voices speaking out for limiting the ways we allow algorithms to influence our lives and against the notion that an algorithm, because it is implemented by an unemotional machine, cannot perpetrate bias or injustice... While Weapons of Math Destruction is full of hard truths and grim statistics, it is also accessible and even entertaining. O'Neil's writing is direct and easy to read - I devoured it in an afternoon (Evelyn Lamb Scientific American)

登録情報

  • フォーマット: Kindle版
  • ファイルサイズ: 3163 KB
  • 紙の本の長さ: 290 ページ
  • 出版社: Broadway Books; Reprint版 (2016/9/6)
  • 販売: Amazon Services International, Inc.
  • 言語: 英語
  • ASIN: B019B6VCLO
  • Text-to-Speech(テキスト読み上げ機能): 有効
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  • Word Wise: 有効
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