Items related to Weapons of Math Destruction: How Big Data Increases...

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy - Softcover

  • 3.88 out of 5 stars
    28,938 ratings by Goodreads
 
9780451497338: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
  • PublisherAllen Lane
  • Publication date1887
  • ISBN 10 0451497333
  • ISBN 13 9780451497338
  • BindingPaperback
  • LanguageEnglish
  • Rating
    • 3.88 out of 5 stars
      28,938 ratings by Goodreads

Buy Used

Condition: Good
Pages can have notes/highlighting...
View this item

FREE shipping within U.S.A.

Destination, rates & speeds

Buy New

View this item

US$ 32.95 shipping from Germany to U.S.A.

Destination, rates & speeds

Other Popular Editions of the Same Title

Search results for Weapons of Math Destruction: How Big Data Increases...

Stock Image

Published by Allen Lane, 1887
ISBN 10: 0451497333 ISBN 13: 9780451497338
Used Paperback

Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.15. Seller Inventory # G0451497333I3N00

Contact seller

Buy Used

US$ 12.34
Convert currency
Shipping: FREE
Within U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Cathy O'Neil
Published by Penguin Random House, Crown, 1887
ISBN 10: 0451497333 ISBN 13: 9780451497338
New Taschenbuch

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: Neu. Neu Neuware, Importqualität, auf Lager - Longlisted for the National Book AwardNew 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. Seller Inventory # INF1000537669

Contact seller

Buy New

US$ 34.76
Convert currency
Shipping: US$ 32.95
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket