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Weapons of Math Destruction, How Big Data Increases Inequality and Threatens Democracy

Author: Cathy O'Neil

A guide for the 21st-century citizen... accessible, refreshingly critical, relevant, and urgent. In this New York Times bestseller, Cathy O'Neil, one of the earliest advocates for algorithmic...

A guide for the 21st-century citizen... accessible, refreshingly critical, relevant, and urgent. In this New York Times bestseller, Cathy O'Neil, one of the earliest advocates for algorithmic accountability, sounds the alarm about the mathematical models that overwhelm modern life -- and threaten to unravel our social fabric. We live in the age of the...

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  • Number of pages Number of pages 272
  • Cover Cover Soft
  • Year of publication Year of publication 2017
  • Publisher Publisher Penguin
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Description

Description

A guide for the 21st-century citizen... accessible, refreshingly critical, relevant, and urgent. In this New York Times bestseller, Cathy O'Neil, one of the earliest advocates for algorithmic accountability, sounds the alarm about the mathematical models that overwhelm modern life -- and threaten to unravel our social fabric. We live in the age of the algorithm. An increasing number of decisions that affect our lives - where we will go to school, whether we will take out a loan, how much we will pay for insurance - are made not by people, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged by the same rules, and biases are eliminated. Yet, as Cathy O'Neil reveals in this urgent and essential book, the opposite is true. The models in use today are opaque, unregulated, and unchallengeable, even when they are wrong. Most troublingly, they reinforce discrimination. Following the trajectory of a life, O'Neil uncovers the "black box" models that shape our future, both as individuals and as a society. These "weapons of math destruction" grade teachers and students, categorize resumes, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on politicians to regulate their use. However, in the end, it is up to us to become more informed about the models that govern our lives. This important book empowers us to ask tough questions, uncover the truth, and demand change.

Pages: 272, Dimensions: 13x13cm

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Specifications

Specifications

Author
Cathy O'Neil
Publisher
Penguin
Language
English
Subtitle
How Big Data Increases Inequality and Threatens Democracy
Cover
Soft
Number of Pages
272
Release Date
-
Publication Date
2017
Dimensions
12x19 cm
ISBN-13
9780141985411

Important information

Specifications are collected from official manufacturer websites. Please verify the specifications before proceeding with your final purchase. If you notice any problem you can report it here.

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Reviews (1)

Reviews

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  • Weapons of Math Destruction exposes how social injustice, unfairness, and bias don’t fade away, they get encoded. Stigmas are reproduced and scaled through algorithms and big data, hiding behind the myth of objectivity. Sharp, unsettling, and convincing. A must-read

    Translated from Greek ·
    Did you find this review helpful?
  • Weapons of Math Destruction exposes how social injustice, unfairness, and bias don’t fade away, they get encoded. Stigmas are reproduced and scaled through algorithms and big data, hiding behind the myth of objectivity. Sharp, unsettling, and convincing. A must-read

    Translated from Greek ·
    0
  • See all

Description & Specifications

A guide for the 21st-century citizen... accessible, refreshingly critical, relevant, and urgent. In this New York Times bestseller, Cathy O'Neil, one of the earliest advocates for algorithmic accountability, sounds the alarm about the mathematical models that overwhelm modern life -- and threaten to unravel our social fabric. We live in the age of the algorithm. An increasing number of decisions that affect our lives - where we will go to school, whether we will take out a loan, how much we will pay for insurance - are made not by people, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged by the same rules, and biases are eliminated. Yet, as Cathy O'Neil reveals in this urgent and essential book, the opposite is true. The models in use today are opaque, unregulated, and unchallengeable, even when they are wrong. Most troublingly, they reinforce discrimination. Following the trajectory of a life, O'Neil uncovers the "black box" models that shape our future, both as individuals and as a society. These "weapons of math destruction" grade teachers and students, categorize resumes, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on politicians to regulate their use. However, in the end, it is up to us to become more informed about the models that govern our lives. This important book empowers us to ask tough questions, uncover the truth, and demand change.

Pages: 272, Dimensions: 13x13cm

Manufacturer

Author
Cathy O'Neil
Publisher
Penguin
Language
English
Subtitle
How Big Data Increases Inequality and Threatens Democracy
Cover
Soft
Number of Pages
272
Release Date
-
Publication Date
2017
Dimensions
12x19 cm
ISBN-13
9780141985411

Important information

Specifications are collected from official manufacturer websites. Please verify the specifications before proceeding with your final purchase. If you notice any problem you can report it here.

Reviews (1)

  1. 1
  2. 4 stars
    0
  3. 3 stars
    0
  4. 2 stars
    0
  5. 1 star
    0
Review this product
  • Weapons of Math Destruction exposes how social injustice, unfairness, and bias don’t fade away, they get encoded. Stigmas are reproduced and scaled through algorithms and big data, hiding behind the myth of objectivity. Sharp, unsettling, and convincing. A must-read

    Translated from Greek ·
    Did you find this review helpful?
  • Weapons of Math Destruction exposes how social injustice, unfairness, and bias don’t fade away, they get encoded. Stigmas are reproduced and scaled through algorithms and big data, hiding behind the myth of objectivity. Sharp, unsettling, and convincing. A must-read

    Translated from Greek ·
    0
  • See all
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