Weapons of Math Destruction How Big Data Increases Inequality and Threatens Democracy. Ausgezeichnet: Euler Book Prize

O Neil s book offers a frightening look at how algorithms are increasingly regulating people. . . . Her knowledge of the power and risks of mathematical models, coupled with a gift for analogy, makes her one of the most valuable observers of the continuing weaponization of big data. . . . [She] does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives. The  New York Times Book Review

"Weapons of Math Destruction is the Big Data story Silicon Valley proponents won't tell. . . . [It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics . . . a thought-provoking read for anyone inclined to believe that data doesn't lie. Reuters

This is a manual for the twenty-first century citizen, and it succeeds where other big data accounts have failed it is accessible, refreshingly critical and feels relevant and urgent. Financial Times

"Insightful and disturbing." New York Review of Books

Weapons of Math Destruction is an urgent critique of . . . the rampant misuse of math in nearly every aspect of our lives. Boston Globe

A fascinating and deeply disturbing book. Yuval Noah Harari, author of Sapiens

Illuminating . . . [O Neil] makes a convincing case that this reliance on algorithms has gone too far. The Atlantic

A nuanced reminder that big data is only as good as the people wielding it. Wired

If you ve ever suspected there was something baleful about our deep trust in data, but lacked the mathematical skills to figure out exactly what it was, this is the book for you. Salon

O Neil is an ideal person to write this book. She is an academic mathematician turned Wall Street quant turned data scientist who has been involved in Occupy Wall Street and recently started an algorithmic auditing company. She is one of the strongest voices speaking out for limiting the ways we allow algorithms to influence our lives. . . . While Weapons of Math Destruction is full of hard truths and grim statistics, it is also accessible and even entertaining. O Neil s writing is direct and easy to read I devoured it in an afternoon. Scientific American

Indispensable . . . Despite the technical complexity of its subject, Weapons of Math Destruction lucidly guides readers through these complex modeling systems. . . . O Neil s book is an excellent primer on the ethical and moral risks of Big Data and an algorithmically dependent world. . . . For those curious about how Big Data can help them and their businesses, or how it has been reshaping the world around them, Weapons of Math Destruction is an essential starting place. National Post

Cathy O Neil has seen Big Data from the inside, and the picture isn t pretty. Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools. This book is wise, fierce, and desperately necessary. Jordan Ellenberg, University of Wisconsin-Madison, author of How Not To Be Wrong

O Neil has become [a whistle-blower] for the world of Big Data . . . [in] her important new book. . . .  Her work makes particularly disturbing points about how being on the wrong side of an algorithmic decision can snowball in incredibly destructive ways. Time