Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

By:

Cathy O'Neil

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Paperback / softback

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Description

A former Wall Street data scientist 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 - whether we get a job or a loan, how much we pay for insurance - are being made 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 incontestable, even when they're wrong. Most troubling, they reinforce discrimination, creating a toxic cocktail for democracy. Tracing the arc of a person's life, Cathy O'Neil exposes the black box models that shape our future as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters and monitor our health. O'Neil calls on modellers 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.

Author Biography:

Cathy O'Neil is the author of the bestselling Weapons of Math Destruction, which won the Euler Book Prize and was longlisted for the National Book Award. She received her PhD in mathematics from Harvard and has worked in finance, tech, and academia. She launched the Lede Program for data journalism at Columbia University and recently founded ORCAA, an algorithmic auditing company. O'Neil is a regular contributor to Bloomberg View.

Release date NZ

July 6th, 2017

Author

Cathy O'Neil

Audiences

General (US: Trade)
Professional & Vocational
Tertiary Education (US: College)

Pages

272

Dimensions

129x198x16

ISBN-13

9780141985411

Product ID

26494430

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