Weapons of Math Destruction - Cathy O'Neil

Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

(Autor)

Buch | Softcover
272 Seiten
2017
Penguin Books Ltd (Verlag)
978-0-14-198541-1 (ISBN)
13,70 inkl. MwSt
'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times

'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year

In this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, 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 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. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

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.

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 130 x 198 mm
Gewicht 203 g
Themenwelt Sachbuch/Ratgeber Natur / Technik
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Allgemeines / Lexika
Mathematik / Informatik Mathematik Mathematische Spiele und Unterhaltung
Naturwissenschaften
Sozialwissenschaften Politik / Verwaltung Politische Systeme
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-14-198541-0 / 0141985410
ISBN-13 978-0-14-198541-1 / 9780141985411
Zustand Neuware
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