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Weapons of Math Destruction
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Weapons of Math Destruction

Cathy O'Neil

4.11215 learners

In *Weapons of Math Destruction*, former hedge fund mathematician Cathy O'Neil pulls back the curtain on seemingly neutral algorithms that operate as hidden tools of systemic oppression. She defines these "WMDs" by three core traits: opacity (their inner workings are kept secret), scalability (they target millions at once), and destructiveness (they trap marginalized groups in cycles of harm). Through gripping case studies—from criminal justice recidivism models that penalize poor communities to predatory for-profit college ads that exploit vulnerable individuals, from biased hiring tests that shut out qualified candidates to insurance pricing that overcharges low-income drivers—O'Neil exposes how these models encode societal prejudices into code, prioritizing efficiency and profit over fairness. She also highlights hopeful alternatives: algorithms designed to uplift rather than exploit, rooted in transparency, accountability, and a commitment to serving human needs. A must-read for anyone seeking to understand how data shapes power, inequality, and justice in the digital age.

Algorithmic BiasFeedback LoopsWeapons of Math DestructionRecidivism ModelsCredit Scoring
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