The Bias Of Maths Destruction


The Bias Of Maths Destruction
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Weapons Of Math Destruction


Weapons Of Math Destruction
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Author : Cathy O'Neil
language : en
Publisher: Crown Publishing Group (NY)
Release Date : 2016

Weapons Of Math Destruction written by Cathy O'Neil and has been published by Crown Publishing Group (NY) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Business & Economics categories.


"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.



Weapons Of Math Destruction


Weapons Of Math Destruction
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Author : Cathy O'Neil
language : en
Publisher: Crown
Release Date : 2016-09-06

Weapons Of Math Destruction written by Cathy O'Neil and has been published by Crown this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-06 with Political Science categories.


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.



Data Feminism


Data Feminism
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Author : Catherine D'Ignazio
language : en
Publisher: MIT Press
Release Date : 2020-03-31

Data Feminism written by Catherine D'Ignazio and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Social Science categories.


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.



Doing Data Science


Doing Data Science
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Author : Cathy O'Neil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-10-09

Doing Data Science written by Cathy O'Neil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-09 with Computers categories.


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.



Algorithms Of Oppression


Algorithms Of Oppression
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Author : Safiya Umoja Noble
language : en
Publisher: NYU Press
Release Date : 2018-02-20

Algorithms Of Oppression written by Safiya Umoja Noble and has been published by NYU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-20 with Computers categories.


Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author



Irreversible Damage


Irreversible Damage
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Author : Abigail Shrier
language : en
Publisher: Simon and Schuster
Release Date : 2020-06-30

Irreversible Damage written by Abigail Shrier and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Political Science categories.


NAMED A BOOK OF THE YEAR BY THE ECONOMIST AND ONE OF THE BEST BOOKS OF 2021 BY THE TIMES AND THE SUNDAY TIMES "Irreversible Damage . . . has caused a storm. Abigail Shrier, a Wall Street Journal writer, does something simple yet devastating: she rigorously lays out the facts." —Janice Turner, The Times of London Until just a few years ago, gender dysphoria—severe discomfort in one’s biological sex—was vanishingly rare. It was typically found in less than .01 percent of the population, emerged in early childhood, and afflicted males almost exclusively. But today whole groups of female friends in colleges, high schools, and even middle schools across the country are coming out as “transgender.” These are girls who had never experienced any discomfort in their biological sex until they heard a coming-out story from a speaker at a school assembly or discovered the internet community of trans “influencers.” Unsuspecting parents are awakening to find their daughters in thrall to hip trans YouTube stars and “gender-affirming” educators and therapists who push life-changing interventions on young girls—including medically unnecessary double mastectomies and puberty blockers that can cause permanent infertility. Abigail Shrier, a writer for the Wall Street Journal, has dug deep into the trans epidemic, talking to the girls, their agonized parents, and the counselors and doctors who enable gender transitions, as well as to “detransitioners”—young women who bitterly regret what they have done to themselves. Coming out as transgender immediately boosts these girls’ social status, Shrier finds, but once they take the first steps of transition, it is not easy to walk back. She offers urgently needed advice about how parents can protect their daughters. A generation of girls is at risk. Abigail Shrier’s essential book will help you understand what the trans craze is and how you can inoculate your child against it—or how to retrieve her from this dangerous path.



On Being A Data Skeptic


On Being A Data Skeptic
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Author : Cathy O'Neil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-09-30

On Being A Data Skeptic written by Cathy O'Neil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with Computers categories.


"Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models shouldn't be hailed as the end-all-be-all, either.



Oxford Handbook Of Ethics Of Ai


Oxford Handbook Of Ethics Of Ai
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Author : Markus D. Dubber
language : en
Publisher: Oxford University Press
Release Date : 2020-06-30

Oxford Handbook Of Ethics Of Ai written by Markus D. Dubber and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Law categories.


This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."



The Alignment Problem Machine Learning And Human Values


The Alignment Problem Machine Learning And Human Values
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Author : Brian Christian
language : en
Publisher: W. W. Norton & Company
Release Date : 2020-10-06

The Alignment Problem Machine Learning And Human Values written by Brian Christian and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Science categories.


A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.



The Ethical Algorithm


The Ethical Algorithm
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Author : Michael Kearns
language : en
Publisher: Oxford University Press
Release Date : 2019-10-04

The Ethical Algorithm written by Michael Kearns and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.


Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.