$Weapons of math destruction : how big data increases inequality and threatens democracy /$

Weapons of math destruction : how big data increases inequality and threatens democracy /

We live in the age of the algorithm. Increasingly, the decisions that affect our lives (where we go to school, whether we get a car loan, how much we pay for health insurance) are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judge...

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Bibliographic Details
Main Author:	O'Neil, Cathy (Author)
Format:	Book
Language:	English
Published:	New York : Crown Publishers, [2016] New York : Crown, [2016]
Edition:	First edition
Subjects:	2000-2099 21st century Big data > Moral and ethical aspects > United States Big data > Political aspects > United States Big data > Social aspects > United States Democracy > United States Politics, Practical Social indicators > Mathematical models > Moral and ethical aspects Données volumineuses > Aspect moral > États-Unis Données volumineuses > Aspect politique > États-Unis Données volumineuses > Aspect social > États-Unis Indicateurs sociaux > Modèles mathématiques > Aspect moral Politique BUSINESS & ECONOMICS > Statistics Big Data Big data Big data > Political aspects Big data > Social aspects Big data > United States Democracy Demokratie Economic indicators > Mathematical models > Ethical aspects Massendaten POLITICAL SCIENCE > Public Policy SOCIAL SCIENCE > Privacy & Surveillance Social conditions Social indicators Social indicators > Mathematical models Soziale Ungleichheit politics 2000s Data Interpretation, Statistical Datasets > statistics & numerical data Politics United States > Social conditions > 21st century États-Unis > Conditions sociales > 21e siècle USA United States United States > Social conditions
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100	1		\|a O'Neil, Cathy, \|e author \|0 http://viaf.org/viaf/305378637
100	1		\|a O'Neil, Cathy, \|e author \|1 http://viaf.org/viaf/305378637
100	1		\|a O'Neil, Cathy, \|e author
245	1	0	\|a Weapons of math destruction : \|b how big data increases inequality and threatens democracy / \|c Cathy O'Neil
246	3	0	\|a How big data increases inequality and threatens democracy
250			\|a First edition
263			\|a 1609
264		1	\|a New York : \|b Crown Publishers, \|c [2016]
264		1	\|a New York : \|b Crown, \|c [2016]
264		4	\|c ©2016
300			\|a x, 259 pages ; \|c 22 cm
336			\|a text \|b txt \|2 rdacontent
337			\|a unmediated \|b n \|2 rdamedia
338			\|a volume \|b nc \|2 rdacarrier
500			\|a Includes index
504			\|a Includes bibliographical references (pages 219-252) and index
504			\|a Includes bibliographical references (pages [219]-252) and index
504			\|a Includes bibliographical references and index
505	0		\|a Bomb parts : what is a model? -- Shell shocked : my journey of disillusionment -- Arms race : going to college -- Propaganda machine : online advertising -- Civilian casualties : justice in the age of big data -- Ineligible to serve : getting a job -- Sweating bullets : on the job -- Collateral damage : landing credit -- No safe zone : getting insurance -- The targeted citizen : civic life
505	0		\|a Bomb parts: What is a model? -- Shell shocked: My journey of disillusionment -- Arms race: Going to college -- Propaganda machine: Online advertising -- Civilian casualties: Justice in the age of big data -- Ineligible to serve: Getting a job -- Sweating bullets: On the job -- Collateral damage: Landing credit -- No safe zone: Getting insurance -- The targeted citizen: Civic life
505	0		\|a Bomb parts: what is a model? -- Shell shocked: my journey of disillusionment -- Arms race: going to college -- Propaganda machine: online advertising -- Civilian casualties: justice in the age of big data -- Ineligible to serve: getting a job -- Sweating bullets: on the job -- Collateral damage: landing credit -- No safe zone: getting insurance -- The targeted citizen: civic life
505	0	0	\|g 1 \|t Bomb parts : what is a model? -- \|g 2. \|t Shell shocked : my journey of disillusionment -- \|g 3. \|t Arms race : going to college -- \|g 4. \|t Propaganda machine : online advertising -- \|g 5. \|t Civilian casualties : justice in the age of big data -- \|g 6. \|t Ineligible to serve : getting a job -- \|g 7. \|t Sweating bullets : on the job -- \|g 8. \|t Collateral damage -- \|g 9. \|t No safe zone : getting insurance -- \|g 10. The \|t targeted citizen : civic life.
520			\|a We live in the age of the algorithm. Increasingly, the decisions that affect our lives (where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they are wrong. Most troubling, they reinforce discrimination: if a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he is then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of big data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it is up to us to become more savvy about the models that govern our lives
520			\|a We live in the age of the algorithm. Increasingly, the decisions that affect our lives -- where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this 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: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers 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
520			\|a "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
520			\|a "We live in the age of the algorithm. Increasingly, the decisions that affect our lives-- where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers 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."--Dust jacket
520			\|a "We live in the age of the algorithm. Increasingly, the decisions that affect our lives-- where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers 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."--Dust jacket
520			\|a "We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers 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."--Dust jacket
520			\|a "We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers 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."--Dust jacket
520			\|a "We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health 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. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. 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 résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers 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"-- \|c Dust jacket
648		7	\|a 2000-2099 \|2 fast
648		7	\|a 21st century \|2 fast
650		0	\|a Big data \|x Moral and ethical aspects \|z United States
650		0	\|a Big data \|x Political aspects \|0 https://id.loc.gov/authorities/subjects/sh00005651 \|z United States \|0 https://id.loc.gov/authorities/names/n78095330-781
650		0	\|a Big data \|x Political aspects \|z United States
650		0	\|a Big data \|x Social aspects \|0 https://id.loc.gov/authorities/subjects/sh00002758 \|z United States \|0 https://id.loc.gov/authorities/names/n78095330-781
650		0	\|a Big data \|x Social aspects \|z United States
650		0	\|a Democracy \|z United States
650		0	\|a Politics, Practical
650		0	\|a Social indicators \|x Mathematical models \|0 https://id.loc.gov/authorities/subjects/sh2002007921 \|x Moral and ethical aspects \|0 https://id.loc.gov/authorities/subjects/sh00006099
650		0	\|a Social indicators \|x Mathematical models \|x Moral and ethical aspects
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758			\|i has work: \|a Weapons of math destruction (Text) \|1 https://id.oclc.org/worldcat/entity/E39PCGCrBtTCQrmWxbDCdvRwJC \|4 https://id.oclc.org/worldcat/ontology/hasWork
776			\|i Online version: \|a O'Neil, Cathy, author \|t Weapons of math destruction. \|b First edition. \|d New York : Crown Publishers, [2016] \|z 9780553418828 \|w (DLC) 2016016487.
776	0	8	\|i Online version: \|a O'Neil, Cathy \|t Weapons of math destruction. \|b First edition. \|d New York : Crown Publishers, [2016] \|z 9780553418828 \|w (DLC) 2016016487 \|w (OCoLC)946142559
776	0	8	\|i Online version: \|a O'Neil, Cathy, author \|t Weapons of math destruction \|b First edition. \|d New York : Crown Publishers, [2016] \|z 9780553418828 \|w (DLC) 2016016487
776	0	8	\|i Online version: \|a O'Neil, Cathy, author \|t Weapons of math destruction \|b First edition. \|d New York : Crown Publishers, [2016] \|z 9780553418828 \|w (DLC) 2016016487.
776	0	8	\|i Online version: \|a O'Neil, Cathy, author \|t Weapons of math destruction. \|b First edition. \|d New York : Crown Publishers, [2016] \|z 9780553418828 \|w (DLC) 2016016487
776	0	8	\|i Online version: \|a O'Neil, Cathy, author \|t Weapons of math destruction. \|b First edition. \|d New York : Crown Publishers, [2016] \|z 9780553418828 \|w (DLC) 2016016487
776	0	8	\|i Online version: \|z 9780553418828 \|w (OCoLC)946142559
796	2	3	\|a Powell \|e donor \|x Gift of \|z Gift of the Benjamin F. Powell Library Endowment Fund
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Weapons of math destruction : how big data increases inequality and threatens democracy /

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