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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Review A New York Times Book Review Notable Book of 2016A Boston Globe Best Book of 2016One of Wired's Required Reading Picks of 2016One of Fortune's Favorite Books of 2016AKirkus ReviewsBest Book of 2016A Chicago Public Library Best Book of 2016A Nature.com Best Book of 2016AnOn PointBest Book of 2016New York Times Editor's ChoiceA Maclean's BestsellerWinner of the 2016 SLA-NY PrivCo Spotlight AwardONeils book offers a frightening look at how algorithms are increasingly regulating people Her knowledge of the power and risks of mathematical models, coupled with a gift for analogy, makes her one of the most valuable observers of the continuing weaponization of big data [She] does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives.New York Times Book Review'Weapons of Math Destruction is the Big Data story Silicon Valley proponents won't tell.... [It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics.... a thought-provoking read for anyone inclined to believe that data doesn't lie.ReutersThis is a manual for the 21st-century citizen, and it succeeds where other big data accounts have failedit is accessible, refreshingly critical and feels relevant and urgent.Financial Times'Insightful and disturbing.'New York Review of BooksWeapons of Math Destruction is an urgent critique of the rampant misuse of math in nearly every aspect of our lives.Boston GlobeA fascinating and deeply disturbing book. Yuval Noah Harari, author of Sapiens; The Guardians Best Books of 2016Illuminating [ONeil] makes a convincing case that this reliance on algorithms has gone too far.The AtlanticA nuanced reminder that big data is only as good as the people wielding it.WiredIf youve ever suspected there was something baleful about our deep trust in data, but lacked the mathematical skills to figure out exactly what it was, this is the book for you.SalonONeil is an ideal person to write this book. She is an academic mathematician turned Wall Street quant turned data scientist who has been involved in Occupy Wall Street and recentlystarted an algorithmic auditing company. She is one of the strongest voices speaking out for limiting the ways we allow algorithms to influence our livesWhileWeapons of Math Destructionis full of hard truths and grim statistics, it is also accessible and even entertaining. ONeils writing is direct and easy to readI devoured it in an afternoon.Scientific AmericanReadable and engaging succinct and cogentWeapons of Math Destruction is The Jungle of our age [It] should be required reading for all data scientists and for any organizational decision-maker convinced that a mathematical model can replace human judgment.'Mark Van Hollebeke,Data and Society: PointsIndispensable Despite the technical complexity of its subject, Weapons of Math Destruction lucidly guides readers through these complex modeling systems ONeils book is an excellent primer on the ethical and moral risks of Big Data and an algorithmically dependent world For those curious about how Big Data can help them and their businesses, or how it has been reshaping the world around them, Weapons of Math Destruction is an essential starting place.National PostCathy ONeil has seen Big Data from the inside, and the picture isnt pretty. Weapons of Math Destructionopens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools. This book is wise, fierce, and desperately necessary.Jordan Ellenberg, University of Wisconsin-Madison, author of How Not To Be WrongONeil has become [a whistle-blower] for the world of Big Data [in] her important new book Her work makes particularly disturbing points about how being on the wrong side of an algorithmic decision can snowball in incredibly destructive ways.TIMEONeils work is so important [her] book is a vital crash-course in the specialized kind of statistical knowledge we all need to interrogate the systems around us and demand better.Boing BoingCathy ONeil, a number theorist turned data scientist, delivers a simple but important message: Statistical models are everywhere, and they exert increasing power over many aspects of our daily lives Weapons of Math Destruction provides a handy map to a few of the many areas of our lives over which invisible algorithms have gained some control. As the empire of big data continues to expand, Cathy ONeils reminder of the need for vigilance is welcome and necessary.American ProspectAn avowed math nerd, ONeil has written an engaging description of the effect of crunched data on our lives.Hicklebees, San Francisco ChronicleBy tracking how algorithms shape people's lives at every stage, O'Neil makes a compelling case that our bot overlords are using data to discriminate unfairly and foreclose democratic choices. If you work with data, or just produce reams of it online, this is a must-read.ArsTechnicaLucid, alarming, and valuable [ONeils] writing is crisp and precise as she aims her arguments to a lay audience. This makes for a remarkably page-turning read for a book about algorithms. Weapons of Math Destruction should be required reading for anybody whose life will be affected by Big Data, which is to say: required reading for everyone. Its a wake-up call a journalistic heir to The Jungle and Silent Spring. Like those books, it should change the course of American society.Aspen Times'[O'Neil's] propulsive study reveals many models that are currently 'micromanaging' the US economy as opaque and riddled with bias.'NatureYou dont need to be a nerd to appreciate the significance of [ONeils] message Weapons is a must-read for anyone who is working to combat economic and racial discrimination.Goop'Cathy ONeils book... is important and covers issues everyone should care about. Bonus points: its accessible, compelling, andsomething I wasnt expectingreally fun to read.Inside Higher EdOften we dont even know where to look for those important algorithms, because by definition the most dangerous ones are also the most secretive. Thats why the catalogue of case studies in ONeils book are so important; shes telling us where to look.The GuardianONeil is passionate about exposing the harmful effects of Big Datadriven mathematical models (what she calls WMDs), and shes uniquely qualified for the task [She] makes a convincing case that many mathematical models today are engineered to benefit the powerful at the expense of the powerless [and] has written an entertaining and timely book that gives readers the tools to cut through the ideological fog obscuring the dangers of the Big Data revolution.In These TimesIn this simultaneously illuminating and disturbing account, [ONeil] describes the many ways in which widely used mathematic modelsbased on prejudice, misunderstanding, and biastend to punish the poor and reward the rich She convincingly argues for both more responsible modeling and federal regulation. An unusually lucid and readable look at the daunting algorithms that govern so many aspects of our lives.Kirkus Reviews (starred)Even as a professional mathematician, I had no idea how insidious Big Data could be until I read Weapons of Math Destruction. Though terrifying, its a surprisingly fun read: ONeils vision of a world run by algorithms is laced with dark humor and exasperationlike a modern-day Dr. Strangelove or Catch-22. It is eye-opening, disturbing, and deeply important.Steven Strogatz, Cornell University, author of The Joy of xThis taut and accessible volume, the stuff of technophobes nightmares, explores the myriad ways in which largescale data modeling has made the world a less just and equal place. ONeil speaks from a place of authority on the subject Unlike some other recent books on 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 eerily prescient.Publishers Weekly'Well-written, entertaining and very valuable.'Times Higher Education'Not math heavy, but written in an exceedingly accessible, almost literary style; [O'Neil's] fascinating case studies of WMDs fit neatly into the genre of dystopian literature. There's a little Philip K. Dick, a little Orwell, a little Kafka in her portrait of powerful bureaucracies ceding control of the most intimate decisions of our lives to hyper-empowered computer models riddled with all of our unresolved, atavistic human biases.'Paris ReviewThrough harrowing real-world examples and lively story-telling, Weapons of Math Destruction shines invaluable light on the invisible algorithms and complex mathematical models used by government and big business to undermine equality and increase private power. Combating secrecy with clarity and confusion with understanding, this book can help us change course before its too late.Astra Taylor, author of The Peoples Platform: Taking Back Power and Culture in the Digital Age'Weapons of Math Destructionis a fantastic, plainspoken call to arms. It acknowledges that models aren't going away: As a tool for identifying people in difficulty, they are amazing. But as a tool for punishing and disenfranchising, they're a nightmare.Cory Doctorow, author of Little Brother and co-editor of Boing BoingMany algorithms are slaves to the inequalities of power and prejudice. If you dont want these algorithms to become your masters, read Weapons of Math Destruction by Cathy ONeil to deconstruct the latest growing tyranny of an arrogant establishment.Ralph Nader, author of Unsafe at Any SpeedIn this fascinating account, Cathy O'Neil leverages her expertise in mathematics and her passion for social justice to poke holes in the triumphant narrative of Big Data. She makes a compelling case that math is being used to squeeze marginalized segments of society and magnify inequities. Her analysis is superb, her writing is enticing, and her findings are unsettling.danah boyd, founder of Data & Society and author of Its Complicated'From getting a job to finding a spouse, predictive algorithms are silently shaping and controlling our destinies. Cathy O'Neil takes us on a journey of outrage and wonder, with prose that makes you feel like it's just a conversation. But its an important one. We need to reckon with technology.Linda Tirado, author of Hand to Mouth: Living in Bootstrap AmericaNext time you hear someone gushing uncritically about the wonders of Big Data, show them Weapons of Math Destruction. Itll be salutary.Felix Salmon, Fusion Read more About the Author 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 peoples purchases and clicks. ONeil 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. Read more See all Editorial Reviews
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