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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Goodreads Choice Award
Nominee for Readers' Favorite Science & Technology (2016)We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.
But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.
But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.
259 pages, Hardcover
First published September 6, 2016
About the author
Cathy O'Neil
7 books553 followersCathy 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.
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Displaying 1 - 4 of 4 reviews
July 29, 2025
Wie beeinflussen Algorithmen die Entscheidungsfindung der wichtigsten Lebensbereichene? Uni, Job, Kredite, social media und Strafverfolgung werden durch undurchsichtige Programme automatisiert. Wie rassistisch, klassistisch und sexistisch sie sind zeigt Cathy O'Neil in ihrem fantastisch verständlich geschriebenen Buch. Obwohl es ein bedrückendes Thema ist wird es nie schwer zu lesen, sondern bleibt spannend und klärt auf. Klare Empfehlung!
March 24, 2021
Gutes Buch, wenn man sich noch nicht mit Big Data und impact of data science auskennt.
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March 27, 2022Sehr interessant, sehr USA-lastig und -spezifisch, es wäre sehr interessant zu lesen wie es in Europa ist.
April 7, 2024
Vor fünf Jahren ohne Frage ein wichtiges Buch gewesen, aber es hat mittlerweile in seinen Beispielen – an denen sich das Buch nun mal entlang hangelt – deutlich an Aktualität verloren.
Displaying 1 - 4 of 4 reviews




