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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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"Weapons of Math Destruction" by Cathy O'Neil explores the detrimental impact of big data and algorithms on society. O'Neil delves into how these mathematical models can lead to discrimination, perpetuate inequality, and harm specific segments of the population. Through various examples, she highlights how these models can be biased, opaque, and create feedback loops that reinforce stereotypes. covers a wide range of topics, including employment, advertising, political engagement, and consumer credit, showcasing how these mathematical systems can have far-reaching consequences on people's lives.

Writing/Prose:

The prose is clear, engaging, and utilizes storytelling to simplify complex subjects, making it approachable for readers without a technical background.

Plot/Storyline:

The plot revolves around the pervasive and harmful impact of algorithms in various sectors of society, illustrating real-world consequences of opaque mathematical models.

Setting:

The setting encompasses multiple societal domains where algorithms operate, primarily focusing on American contexts.

Pacing:

The pacing of the book is brisk, with a continuous flow of information that keeps the reader engaged.
It was a hot August afternoon in 1946. Lou Boudreau, the player-manager of the Cleveland Indians, was having a miserable day. In the first game of a doubleheader, Ted Williams had almost single-handed...

Notes:

Cathy O'Neil calls harmful algorithms 'Weapons of Math Destruction' (WMDs).
WMDs have three characteristics: opacity, scale, and damage.
These algorithms can determine job eligibility, insurance rates, and credit scores.
WMDs often reinforce existing inequalities and injustices in society.
A teacher was fired based on flawed performance metrics without proper evaluations.
The US News college rankings can lead to unethical practices by educational institutions.
Algorithms target low-income individuals with predatory loans and advertisements.
Algorithms in the justice system may unfairly bias against marginalized communities based on historical data.
Big Data processes can perpetuate cycles of poverty and incarceration without accountability.
O'Neil argues for regulation and transparency in algorithmic decision-making.

Sensitive Topics/Content Warnings

Content warnings might include discussions of systemic inequality, discrimination, and the impacts of algorithms on marginalized communities.

From The Publisher:

NEW YORK TIMES BESTSELLER

A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric-with a new afterword

"A manual for the twenty-first-century citizen . . . relevant and urgent."-Financial Times

NATIONAL BOOK AWARD LONGLIST

NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review

The Boston Globe

Wired

Fortune

Kirkus Reviews

The Guardian

Nature

On Point

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. Welcome to the dark side of Big Data.

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About the Author:

Cathy O'Neil is the author of the bestselling Weapons of Math Destruction, which won the Euler Prize and was longlisted for the National Book Award. She received her PhD in mathematics from Harvard and has worked in finance, tech, and…

 
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