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Weapons of Math Destruction
- How Big Data Increases Inequality and Threatens Democracy
- Narrated by: Cathy O'Neil
- Length: 6 hrs and 23 mins
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Publisher's Summary
Brought to you by Penguin.
In this New York Times best seller, 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.
Critic Reviews
"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)
What listeners say about Weapons of Math Destruction
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- Anonymous User
- 09-06-22
excellent book
loved it...Shows how biased are algorithms and some very interesting stuff. thanks for publishing
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- Anonymous User
- 06-02-23
Great summary of the damage algorithms can do
The author has managed to write a great summary of past and potential dangers of algorithmic decision-making in all aspects of our lives: education, job market, insurance, housing, judiciary, and many more.
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- pondheron
- 14-11-22
Thought provoking - re hidden algorithmic biases
A very thought provoking book about hidden biases in algorithms that disproportionately impact the underprivileged. Like all magic bullets that promise to correct existing human biases mathematical models too come with new and invisible biases. Regulations, transparency, oversight audits, openness to feedback are essential to ensure fairness.
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