Weapons of Math Destruction
Weapons of Math Destruction
Cathy O'Neil
Tom Peters
Gives 'big data' a much-needed punch in the nose. Bravo! Big data can be invaluable but can do incalculable harm as well. - Tom Peters
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Weapons of Math Destruction

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

Cathy O'Neil
By
Cathy O'Neil
3.9
27563
ratings on Goodreads

In "Weapons of Math Destruction," Cathy O'Neil unveils the dark underbelly of the seemingly impartial algorithms that orchestrate our lives. From determining the trajectory of our education and career paths to influencing the cost of our health insurance, these mathematical models hold an unprecedented sway over our daily decisions and opportunities. Yet, beneath their facade of objectivity, O'Neil exposes a troubling reality: these algorithms, unregulated and often unchallenged, perpetuate and even exacerbate societal inequalities. With a mathematician's precision and a data scientist's insight, she navigates the intricate maze of big data, revealing how these digital decision-makers not only fail to correct human biases but also encode and amplify them. O'Neil's critical examination brings to light the opaque, yet omnipresent, forces of algorithmic governance that, unchecked, threaten to undermine the very foundations of democracy and fairness. Through compelling evidence and rigorous analysis, "Weapons of Math Destruction" challenges the unchecked power of big data and calls for a democratic oversight to ensure that instead of serving as instruments of discrimination, algorithms can be harnessed to foster equity and justice. This book is a clarion call to action for policymakers, technologists, and the general public to rethink the role of mathematics in public life, urging for a future where technology advances society by championing the values of fairness and inclusivity.

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Released
2016
6 Sep
Length
259
Pages

1

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Gives 'big data' a much-needed punch in the nose. Bravo! Big data can be invaluable but can do incalculable harm as well. - Tom Peters
Big Data processes codify the past. They do not invent the future. Doing that requires moral imagination, and that’s something only humans can provide. We have to explicitly embed better values into our algorithms, creating Big Data models that follow our ethical lead. Sometimes that will mean putting fairness ahead of profit.
— Cathy O'Neil, Weapons of Math Destruction

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