Cathy O'Neil. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Unabridged Books on Tape.

Cathy O'Neil. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Books on Tape.

Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Books on Tape, 2016.

Cathy O'Neil. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Unabridged Books on Tape, 2016.

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   • bioText: Cathy O'Neil is a data scientist and author of the blog mathbabe.org. She earned a Ph.D. in mathematics from Harvard and taught at Barnard College before moving to the private sector, where she worked for the hedge fund D. E. Shaw. She then worked as a data scientist at various start-ups, building models that predict people’s purchases and clicks. O’Neil started the Lede Program in Data Journalism at Columbia and is the author of Doing Data Science. She is currently a columnist for Bloomberg View.
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Weapons of Math Destruction

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NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric—with a new afterword
 
“A manual for the twenty-first-century citizen . . . relevant and urgent.”—Financial Times
 
NATIONAL BOOK AWARD LONGLIST • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review • The Boston Globe • Wired • Fortune • Kirkus Reviews • The Guardian • Nature • On Point
 
We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.
 
But as mathematician and data scientist Cathy O’Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination—propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.

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1. • premium: True
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   • content: O'Neil leverages her experience as a data analyst to discuss the ways that big data affect the realms of education, criminal justice, and insurance. Simply put, the information can deeply impact people's choices and, more specifically, negatively affect disadvantaged populations. The author narrates this production in a clear, matter-of-fact tone that comes at a fast clip. Her voice engages listeners throughout the production, particularly when she uses emphasis to stress the importance of her message. Her prose and narration blend well to express the necessity to deliberate the perils of an increasingly quantified world that lacks checks and balances. L.E. © AudioFile 2016, Portland, Maine
2. • premium: True
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   • content:

     June 13, 2016
     This taut and accessible volume, the stuff of technophobes’ nightmares, explores the myriad ways in which large-scale data modeling has made the world a less just and equal place. O’Neil speaks from a place of authority on the subject: a Barnard professor turned Wall Street quant, she renounced the latter profession after the 2008 market collapse and decided to educate laypeople. Unlike some other recent books about data collection, hers is not hysterical; she offers more of a chilly wake-up call as she walks readers through the ways the “big data” industry has facilitated social ills such as skyrocketing college tuitions, policing based on racial profiling, and high unemployment rates in vulnerable communities. She also homes in on the ways these systems are frequently destructive even to the privileged: sloppy data-gathering companies misidentify people and flag them as criminals, and algorithms determine employee value during company-wide firings. The final chapter, in which O’Neil discusses Facebook’s increasing electoral influence, feels eerily prescient. She offers no one easy solution, but has several reasonable suggestions as to how the future can be made more equitable and transparent for all. Agent: Jay Mandel, William Morris Endeavor.

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NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric—with a new afterword
 
“A manual for the twenty-first-century citizen . . . relevant and urgent.”—Financial Times
 
NATIONAL BOOK AWARD LONGLIST • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review • The Boston Globe • Wired • Fortune • Kirkus Reviews • The Guardian • Nature • On Point
 
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