Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy

Name: Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy - AXIA Books
SKU: AXDBS1189
Price: 900 BDT
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“Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy” by Cathy O’Neil is a compelling exploration of the dark side of big data and algorithmic decision-making. O’Neil, a former data scientist, delves into the ways in which mathematical models, when improperly wielded, can reinforce and exacerbate social inequalities. Through insightful examples and real-world cases, she illustrates how algorithms can lead to destructive outcomes, impacting various aspects of society, from education and employment to criminal justice. O’Neil argues that these “weapons of math destruction” are not neutral tools but can embed and perpetuate biases, amplifying existing societal disparities and threatening the principles of fairness and democracy.

Weight	0.2 kg
Author	Cathy O'Neil
Publisher	Penguin
Book Type	Non-Fiction
Categories	[ Political & Social Science ]
Best for	Political Structure & Processes
Ages	18+
Binding	Paperback
Edition	6 July 2017
ISBN	978-0141985411
Language	English
Pages	272
Printing Remarks	Imported
Dimension	12.9 x 1.6 x 19.8 cm
Weight	0.2 kg

SKU: AXDBS1189 Category: Political & Social Science Tag: Non-Fiction

The book serves as a wake-up call, urging readers to critically examine the role of algorithms in shaping our lives and institutions. O’Neil advocates for transparency, accountability, and ethical considerations in the development and deployment of algorithms. As society becomes increasingly reliant on data-driven decision-making, “Weapons of Math Destruction” provides a thought-provoking and accessible analysis that prompts readers to question the impact of these algorithms on social justice and the democratic fabric of our society. O’Neil’s work challenges us to navigate the intricate intersection of technology, data, and ethics to ensure that mathematical models contribute positively to societal progress rather than perpetuating inequality.