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| 001 | 991022272017402122 | |
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| 020 | $z9780553418828$q(Ebook) | |
| 020 | $z9780451497338$q(International Edition) | |
| 035 | $a(OCoLC)1003644763 | |
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| 050 | _4 | $aQA76.9.B45$bO64 2017 |
| 082 | 04 | $a005.7$223 |
| 100 | 1_ | $aO'Neil, Cathy,$eauthor. |
| 245 | 10 | $aWeapons of math destruction :$bhow big data increases inequality and threatens democracy /$cCathy O'Neil. |
| 250 | $aFirst paperback edition. | |
| 264 | _1 | $aNew York, NY :$bBroadway Books,$c[2017] |
| 264 | _4 | $c©2017 |
| 300 | $axii, 275 pages ;$c21 cm | |
| 336 | $atext$btxt$2rdacontent | |
| 337 | $aunmediated$bn$2rdamedia | |
| 338 | $avolume$bnc$2rdacarrier | |
| 500 | $aOriginally published in hardcover in the United States by Crown.--Title page verso. | |
| 500 | $a"With a new afterword"--Front cover. | |
| 520 | $aWe 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'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. | |
| 504 | $aIncludes bibliographical references (pages 233-268) and index. | |
| 505 | 0_ | $aBomb 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. |
| 650 | _0 | $aBig data$xSocial aspects$zUnited States. |
| 650 | _0 | $aBig data$xPolitical aspects$zUnited States. |
| 650 | _0 | $aBig data$xMoral and ethical aspects$zUnited States. |
| 650 | _0 | $aSocial indicators$xMathematical models$xMoral and ethical aspects. |
| 650 | _0 | $aDemocracy$zUnited States. |
| 651 | _0 | $aUnited States$xSocial conditions$y21st century. |
| 650 | _7 | $aBig data$xPolitical aspects.$2fast$0(OCoLC)fst01983681 |
| 650 | _7 | $aBig data$xSocial aspects.$2fast$0(OCoLC)fst01983622 |
| 650 | _7 | $aDemocracy.$2fast$0(OCoLC)fst00890077 |
| 650 | _7 | $aSocial conditions.$2fast$0(OCoLC)fst01919811 |
| 651 | _7 | $aUnited States.$2fast$0(OCoLC)fst01204155 |
| 648 | _7 | $a2000-2099$2fast |
| 776 | 08 | $iOnline version:$aO'Neil, Cathy.$tWeapons of math destruction.$bFirst paperback edition$w(OCoLC)1204175562 |