Weapons of Math Destruction

288 pages

English language

Published Sept. 22, 2017

ISBN:
978-0-553-41883-5
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5 stars (2 reviews)

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 car loan, how much we pay for health 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.

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 uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of …

2 editions

An absolut must-read for a world emprisoned in a golden cage

5 stars

If you wish to understand better what is at stakes with the algorithms and the global digital maze we seem to be prisoner of, then, this is a must read. Cathy O'Neil very clearly unravel the intricate technical, philosophical, political and socioeconomic logic at play. She shows how they work together to force an even more violent neoliberalism in every area of our daily lives, whether social, cultural, professional, judiciary, educational or political and economic. It is both quite scary and at the same time empowering, as it gives us the basics to look for collective ways to progressively get out of the maze we've lost ourselves in. As the say goes, knowledge is power, and I believe it has never been more true than today.

I would recommend to read it along Shoshana Zuboff's (bookwyrm.social/author/39159/s/shoshana-zuboff) "The Age of Surveillance Capitalism" (bookwyrm.social/book/260163/s/the-age-of-surveillance-capitalism). They nicely complement each …