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Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy
in: Sociology
Summary:

The book explores the dark side of big data, examining how algorithms and predictive models can perpetuate inequality and undermine democracy by being opaque, unregulated, and biased. It delves into real-world examples across various sectors, including finance, insurance, education, and policing, to demonstrate how these "weapons of math destruction" can have damaging consequences on individuals and society.

Key points:

1. Algorithmic Bias: O'Neil explains that algorithms can unintentionally perpetuate biases, as they're trained on historical data which may contain bias.

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