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Author : Cathy O'Neil
Publisher : Crown Publishing Group (NY)
Page : 274 pages
File Size : 46,7 Mb
Release : 2016
Category : BUSINESS & ECONOMICS
ISBN : 9780553418811
"A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,"--NoveList.
Author : Cathy O'Neil
Publisher : Crown
Page : 288 pages
File Size : 40,6 Mb
Release : 2016-09-06
Category : Political Science
ISBN : 9780553418828
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.
Author : Cathy O'Neil
Publisher : Penguin UK
Page : 272 pages
File Size : 41,9 Mb
Release : 2016-09-06
Category : Technology & Engineering
ISBN : 9780141985428
A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
Author : Cathy O'Neil
Publisher : Crown
Page : 290 pages
File Size : 46,5 Mb
Release : 2017-09-05
Category : Political Science
ISBN : 9780553418835
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.
Author : Cathy O'Neil
Publisher : Crown
Page : 273 pages
File Size : 49,9 Mb
Release : 2022-03-22
Category : Social Science
ISBN : 9781984825452
NEW YORK TIMES EDITORS’ CHOICE • A clear-eyed warning about the increasingly destructive influence of America’s “shame industrial complex” in the age of social media and hyperpartisan politics—from the New York Times bestselling author of Weapons of Math Destruction “O’Neil reminds us that we must resist the urge to judge, belittle, and oversimplify, and instead allow always for complexity and lead always with empathy.”—Dave Eggers, author of The Every Shame is a powerful and sometimes useful tool: When we publicly shame corrupt politicians, abusive celebrities, or predatory corporations, we reinforce values of fairness and justice. But as Cathy O’Neil argues in this revelatory book, shaming has taken a new and dangerous turn. It is increasingly being weaponized—used as a way to shift responsibility for social problems from institutions to individuals. Shaming children for not being able to afford school lunches or adults for not being able to find work lets us off the hook as a society. After all, why pay higher taxes to fund programs for people who are fundamentally unworthy? O’Neil explores the machinery behind all this shame, showing how governments, corporations, and the healthcare system capitalize on it. There are damning stories of rehab clinics, reentry programs, drug and diet companies, and social media platforms—all of which profit from “punching down” on the vulnerable. Woven throughout The Shame Machine is the story of O’Neil’s own struggle with body image and her recent weight-loss surgery, which awakened her to the systematic shaming of fat people seeking medical care. With clarity and nuance, O’Neil dissects the relationship between shame and power. Whom does the system serve? Is it counter-productive to call out racists, misogynists, and vaccine skeptics? If so, when should someone be “canceled”? How do current incentive structures perpetuate the shaming cycle? And, most important, how can we all fight back?
Author : Cathy O'Neil,Rachel Schutt
Publisher : "O'Reilly Media, Inc."
Page : 408 pages
File Size : 46,8 Mb
Release : 2013-10-09
Category : Computers
ISBN : 9781449363895
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
Author : Leila Schneps,Coralie Colmez
Publisher : Basic Books
Page : 272 pages
File Size : 42,5 Mb
Release : 2013-03-12
Category : Mathematics
ISBN : 9780465037940
In the wrong hands, math can be deadly. Even the simplest numbers can become powerful forces when manipulated by politicians or the media, but in the case of the law, your liberty -- and your life -- can depend on the right calculation. In Math on Trial, mathematicians Leila Schneps and Coralie Colmez describe ten trials spanning from the nineteenth century to today, in which mathematical arguments were used -- and disastrously misused -- as evidence. They tell the stories of Sally Clark, who was accused of murdering her children by a doctor with a faulty sense of calculation; of nineteenth-century tycoon Hetty Green, whose dispute over her aunt's will became a signal case in the forensic use of mathematics; and of the case of Amanda Knox, in which a judge's misunderstanding of probability led him to discount critical evidence -- which might have kept her in jail. Offering a fresh angle on cases from the nineteenth-century Dreyfus affair to the murder trial of Dutch nurse Lucia de Berk, Schneps and Colmez show how the improper application of mathematical concepts can mean the difference between walking free and life in prison. A colorful narrative of mathematical abuse, Math on Trial blends courtroom drama, history, and math to show that legal expertise isn't't always enough to prove a person innocent.
Author : Catherine D'Ignazio,Lauren F. Klein
Publisher : MIT Press
Page : 328 pages
File Size : 40,6 Mb
Release : 2020-03-31
Category : Social Science
ISBN : 9780262358538
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author : Amir D. Aczel
Publisher : St. Martin's Press
Page : 256 pages
File Size : 40,9 Mb
Release : 2015-01-06
Category : Mathematics
ISBN : 9781466879102
The invention of numerals is perhaps the greatest abstraction the human mind has ever created. Virtually everything in our lives is digital, numerical, or quantified. The story of how and where we got these numerals, which we so depend on, has for thousands of years been shrouded in mystery. Finding Zero is an adventure filled saga of Amir Aczel's lifelong obsession: to find the original sources of our numerals. Aczel has doggedly crisscrossed the ancient world, scouring dusty, moldy texts, cross examining so-called scholars who offered wildly differing sets of facts, and ultimately penetrating deep into a Cambodian jungle to find a definitive proof. Here, he takes the reader along for the ride. The history begins with the early Babylonian cuneiform numbers, followed by the later Greek and Roman letter numerals. Then Aczel asks the key question: where do the numbers we use today, the so-called Hindu-Arabic numerals, come from? It is this search that leads him to explore uncharted territory, to go on a grand quest into India, Thailand, Laos, Vietnam, and ultimately into the wilds of Cambodia. There he is blown away to find the earliest zero—the keystone of our entire system of numbers—on a crumbling, vine-covered wall of a seventh-century temple adorned with eaten-away erotic sculptures. While on this odyssey, Aczel meets a host of fascinating characters: academics in search of truth, jungle trekkers looking for adventure, surprisingly honest politicians, shameless smugglers, and treacherous archaeological thieves—who finally reveal where our numbers come from.
Author : Adam Tanner
Publisher : PublicAffairs
Page : 337 pages
File Size : 42,8 Mb
Release : 2014-09-02
Category : Business & Economics
ISBN : 9781610394192
The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company's success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers. They know exactly what games they like to play, what foods they enjoy for breakfast, when they prefer to visit, who their favorite hostess might be, and exactly how to keep them coming back for more. Caesars' dogged data-gathering methods have been so successful that they have grown to become the world's largest casino operator, and have inspired companies of all kinds to ramp up their own data mining in the hopes of boosting their targeted marketing efforts. Some do this themselves. Some rely on data brokers. Others clearly enter a moral gray zone that should make American consumers deeply uncomfortable. We live in an age when our personal information is harvested and aggregated whether we like it or not. And it is growing ever more difficult for those businesses that choose not to engage in more intrusive data gathering to compete with those that do. Tanner's timely warning resounds: Yes, there are many benefits to the free flow of all this data, but there is a dark, unregulated, and destructive netherworld as well.
Author : Markus Dirk Dubber,Frank Pasquale,Sunit Das
Publisher : Oxford Handbooks
Page : 896 pages
File Size : 53,7 Mb
Release : 2020
Category : Business & Economics
ISBN : 9780190067397
This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.
Author : Peter Woit
Publisher : Springer
Page : 668 pages
File Size : 41,5 Mb
Release : 2017-11-01
Category : Science
ISBN : 9783319646121
This text systematically presents the basics of quantum mechanics, emphasizing the role of Lie groups, Lie algebras, and their unitary representations. The mathematical structure of the subject is brought to the fore, intentionally avoiding significant overlap with material from standard physics courses in quantum mechanics and quantum field theory. The level of presentation is attractive to mathematics students looking to learn about both quantum mechanics and representation theory, while also appealing to physics students who would like to know more about the mathematics underlying the subject. This text showcases the numerous differences between typical mathematical and physical treatments of the subject. The latter portions of the book focus on central mathematical objects that occur in the Standard Model of particle physics, underlining the deep and intimate connections between mathematics and the physical world. While an elementary physics course of some kind would be helpful to the reader, no specific background in physics is assumed, making this book accessible to students with a grounding in multivariable calculus and linear algebra. Many exercises are provided to develop the reader's understanding of and facility in quantum-theoretical concepts and calculations.
Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 55,8 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692
This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.
Author : Jamie Bartlett
Publisher : Random House
Page : 224 pages
File Size : 46,7 Mb
Release : 2018-04-05
Category : Technology & Engineering
ISBN : 9781473559127
**Winner of the 2019 Transmission Prize** **Longlisted for the 2019 Orwell Prize for Political Writing** ‘A superb book by one of the world’s leading experts on the digital revolution’ David Patrikarakos, Literary Review ‘This book could not have come at a better moment... The People Vs Tech makes clear that there is still time – just – for us to take back control’ - Camilla Cavendish, Sunday Times The internet was meant to set us free. Tech has radically changed the way we live our lives. But have we unwittingly handed too much away to shadowy powers behind a wall of code, all manipulated by a handful of Silicon Valley utopians, ad men, and venture capitalists? And, in light of recent data breach scandals around companies like Facebook and Cambridge Analytica, what does that mean for democracy, our delicately balanced system of government that was created long before big data, total information and artificial intelligence? In this urgent polemic, Jamie Bartlett argues that through our unquestioning embrace of big tech, the building blocks of democracy are slowly being removed. The middle class is being eroded, sovereign authority and civil society is weakened, and we citizens are losing our critical faculties, maybe even our free will. The People Vs Tech is an enthralling account of how our fragile political system is being threatened by the digital revolution. Bartlett explains that by upholding six key pillars of democracy, we can save it before it is too late. We need to become active citizens; uphold a shared democratic culture; protect free elections; promote equality; safeguard competitive and civic freedoms; and trust in a sovereign authority. This essential book shows that the stakes couldn’t be higher and that, unless we radically alter our course, democracy will join feudalism, supreme monarchies and communism as just another political experiment that quietly disappeared.
Author : Mona Hanna-Attisha
Publisher : One World
Page : 386 pages
File Size : 45,6 Mb
Release : 2018-06-19
Category : Science
ISBN : 9780399590832
A NEW YORK TIMES NOTABLE BOOK • The dramatic story of the Flint water crisis, by a relentless physician who stood up to power. “Stirring . . . [a] blueprint for all those who believe . . . that ‘the world . . . should be full of people raising their voices.’”—The New York Times “Revealing, with the gripping intrigue of a Grisham thriller.” —O: The Oprah Magazine Here is the inspiring story of how Dr. Mona Hanna-Attisha, alongside a team of researchers, parents, friends, and community leaders, discovered that the children of Flint, Michigan, were being exposed to lead in their tap water—and then battled her own government and a brutal backlash to expose that truth to the world. Paced like a scientific thriller, What the Eyes Don’t See reveals how misguided austerity policies, broken democracy, and callous bureaucratic indifference placed an entire city at risk. And at the center of the story is Dr. Mona herself—an immigrant, doctor, scientist, and mother whose family’s activist roots inspired her pursuit of justice. What the Eyes Don’t See is a riveting account of a shameful disaster that became a tale of hope, the story of a city on the ropes that came together to fight for justice, self-determination, and the right to build a better world for their—and all of our—children. Praise for What the Eyes Don’t See “It is one thing to point out a problem. It is another thing altogether to step up and work to fix it. Mona Hanna-Attisha is a true American hero.”—Erin Brockovich “A clarion call to live a life of purpose.”—The Washington Post “Gripping . . . entertaining . . . Her book has power precisely because she takes the events she recounts so personally. . . . Moral outrage present on every page.”—The New York Times Book Review “Personal and emotional. . . She vividly describes the effects of lead poisoning on her young patients. . . . She is at her best when recounting the detective work she undertook after a tip-off about lead levels from a friend. . . . ‛Flint will not be defined by this crisis,’ vows Ms. Hanna-Attisha.”—The Economist “Flint is a public health disaster. But it was Dr. Mona, this caring, tough pediatrican turned detective, who cracked the case.”—Rachel Maddow