Weapons of Math Destruction

Weapons of Math Destruction
Author : Cathy O'Neil
Publisher : Crown
Total Pages : 288
Release : 2016-09-06
ISBN 10 : 9780553418828
ISBN 13 : 0553418823
Language : EN, FR, DE, ES & NL

Weapons of Math Destruction Book Description:

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.

Weapons of Math Destruction

Weapons of Math Destruction
Author : Cathy O'Neil
Publisher : Penguin UK
Total Pages : 272
Release : 2016-09-06
ISBN 10 : 9780141985428
ISBN 13 : 0141985429
Language : EN, FR, DE, ES & NL

Weapons of Math Destruction Book Description:

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.

SUMMARY Weapons Of Math Destruction How Big Data Increases Inequality And Threatens Democracy By Cathy O Neil

SUMMARY   Weapons Of Math Destruction  How Big Data Increases Inequality And Threatens Democracy By Cathy O   Neil
Author : Shortcut Edition
Publisher : Shortcut Edition
Total Pages : 35
Release : 2021-06-16
ISBN 10 :
ISBN 13 :
Language : EN, FR, DE, ES & NL

SUMMARY Weapons Of Math Destruction How Big Data Increases Inequality And Threatens Democracy By Cathy O Neil Book Description:

* Our summary is short, simple and pragmatic. It allows you to have the essential ideas of a big book in less than 30 minutes. By reading this summary, you will discover that mathematical models, and more particularly algorithms coupled with information systems, may increase inequalities and threaten democracies. You will also discover that : mathematical models are not neutral, but hide ideologies and personal interests; algorithms promise efficiency and lowest cost, but increase inequalities and injustices; mathematical formulas affect your life choices; your personal data are weapons used by the giants of Tech. At a time when algorithms are king, the decisions that affect your life - which school to go to, which loan to take out - are no longer made by humans, but by mathematical models. In theory, this should promote fairness: everyone is judged by the same level of value. Mathematician Cathy O'Neil argues the opposite. These opaque, unregulated models can cause irreparable damage, like the mortgage payments of American households during the subprime crisis in 2007. Worse: they accentuate discrimination. For example, a student from a modest background who cannot obtain a loan - too risky - will never have access to quality education. These mathematical models support the lucky ones and disadvantage the oppressed: welcome to the dark side of big data, the exponential growth of digital data! *Buy now the summary of this book for the modest price of a cup of coffee!

Book Review

Book Review
Author : Apurv Jain
Publisher :
Total Pages : 3
Release : 2018
ISBN 10 : OCLC:1304337207
ISBN 13 :
Language : EN, FR, DE, ES & NL

Book Review Book Description:

Cathy O'Neil is a quant, and her experience comes across in her entertaining book “Weapons of Math Destruction.” It is an insider's disillusioned tale about the dark side of large scale predictive analytics. These data and models affect many areas of our life from the financial markets where we invest our savings, to selecting educational institutions, the labor market, our consumer behavior such as obtaining insurance and credit, our civic life, and even the prison system. The author cautions us against the religious fervor with which we, as a society, are embracing quantitative models in our quest for efficiency. She shows how models are biased, often built on flimsy understanding, lack a self-correcting feedback loop and accountability, and tend to create their own reality at the expense of the poor and the vulnerable. The author's demands for more transparency in algorithms and the sacrificing of mathematical efficiency in the interest of fairness as a society should be a catalyst for important policy conversations. The title of the book might be an homage to Warren Buffet's 2002 Berkshire annual report where citing flawed models and counterparty concentration risk (among others) he famously called derivatives, financial weapons of mass destruction.

Discriminating Data

Discriminating Data
Author : Wendy Hui Kyong Chun
Publisher : MIT Press
Total Pages : 344
Release : 2021-11-02
ISBN 10 : 9780262367257
ISBN 13 : 0262367254
Language : EN, FR, DE, ES & NL

Discriminating Data Book Description:

How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.

Composition and Big Data

Composition and Big Data
Author : Amanda Licastro
Publisher : University of Pittsburgh Press
Total Pages : 272
Release : 2021-11-02
ISBN 10 : 9780822988199
ISBN 13 : 0822988194
Language : EN, FR, DE, ES & NL

Composition and Big Data Book Description:

In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways.

The Shame Machine

The Shame Machine
Author : Cathy O'Neil
Publisher : Crown
Total Pages : 272
Release : 2022-03-22
ISBN 10 : 9781984825469
ISBN 13 : 1984825461
Language : EN, FR, DE, ES & NL

The Shame Machine Book Description:

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?

Mathematics for Social Justice

Mathematics for Social Justice
Author : Catherine A. Buell
Publisher : Routledge
Total Pages : 228
Release : 2021-11-18
ISBN 10 : 9781000479423
ISBN 13 : 1000479420
Language : EN, FR, DE, ES & NL

Mathematics for Social Justice Book Description:

Mathematics instructors are always looking for ways to engage students in meaningful and authentic tasks that utilize mathematics. At the same time, it is crucial for a democratic society to have a citizenry who can critically discriminate between “fake” and reliable news reports involving numeracy and apply numerical literacy to local and global issues. This book contains examples of topics linking math and social justice and addresses both goals. There is a broad range of mathematics used, including statistical methods, modeling, calculus, and basic algebra. The range of social issues is also diverse, including racial injustice, mass incarceration, income inequality, and environmental justice. There are lesson plans appropriate in many contexts: service-learning courses, quantitative literacy/reasoning courses, introductory courses, and classes for math majors. What makes this book unique and timely is that the most previous curricula linking math and social justice have been treated from a humanist perspective. This book is written by mathematicians, for mathematics students. Admittedly, it can be intimidating for instructors trained in quantitative methods to venture into the arena of social dilemmas. This volume provides encouragement, support, and a treasure trove of ideas to get you started. The chapters in this book were originally published as a special issue of the journal, PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies.

The State of the System

The State of the System
Author : Paul W. Bennett
Publisher : McGill-Queen's Press - MQUP
Total Pages :
Release : 2020-09-23
ISBN 10 : 9780228002277
ISBN 13 : 0228002273
Language : EN, FR, DE, ES & NL

The State of the System Book Description:

Over the last fifty years, Canada's public schools have been absorbed into a modern education system that functions much like Max Weber's infamous iron cage. Crying out for democratic school-level reform, the system is now a centralized, bureaucratic fortress that, every year, becomes softer on standards for students, less accessible to parents, further out of touch with communities, and surprisingly unresponsive to classroom teachers. Exploring the nature of the Canadian education order in all its dimensions, The State of the System explains how public schools came to be so bureaucratic, confronts the critical issues facing kindergarten to grade 12 public schools in all ten provinces, and addresses the need for systemic reform. Going beyond a diagnosis of the stresses, strains, and ills present in the system, Paul Bennett proposes a bold plan to re-engineer schools on a more human scale as the first step in truly reforming public education. In place of school consolidation and managerialism, one-size-fits-all uniformity, limited school choice, and the "success-for-all" curriculum, Bennett advocates for a new set of priorities: decentralize school governance, deprogram education ministries and school districts, listen to parents and teachers, and revitalize local education democracy. Tackling the thorny issues besetting contemporary school systems in Canada, The State of the System issues a clarion call for more responsive, engaged, and accountable public schools.