Weapons of math destruction

how big data increases inequality and threatens democracy

Paperback, 259 pages

English language

Published Nov. 16, 2016 by Allen Lane.

ISBN:
978-0-241-29681-3
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OCLC Number:
958464372

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2 stars (1 review)

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 loan, how much we pay for 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. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. 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 …

12 editions

Review of 'Weapons of Math Destruction' on 'Goodreads'

2 stars

Humans tend to make models of everything. We even have our own models in our head that ease our way through life.
The models pointed in this book are biased. And that is because they are modeling a system that is biased. They only reflect the view of the world of the people that design them. It's true that they are unfair, but because the capitalism is an unfair system.
I agree with the author in that we must be vigilant and fight against this discriminating models. But I think that this tools only make the unfairness of the system more efficient. The problem is deeper than the tool, we must fight the system for a better and more fair world.

Subjects

  • Big data
  • Social aspects
  • Human behavior
  • Mathematical models
  • Algorithms
  • Données volumineuses
  • Aspect social
  • Comportement humain
  • Modèles mathématiques
  • Algorithmes

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