000			02872nam a22002777a 4500
008			240318b |||||||| |||| 00| 0 eng d
020			_a9780141985411
040			_cTBS
041			_aeng
100			_aO'Neil, Cathy _923089
245			_aWeapons of math destruction _b: how big data increases inequality and threatens democracy _c/ Cathy O'Neil
260			_aLondon : Penguin Random House, 2017.
300			_a x, 259 pages ; 19 cm.
504			_aIncludes bibliographical references (pages 219-252) and index.
505			_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.
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 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 policymakers to regulate their use. But in the end, it is up to us to become more savvy about the models that govern our lives.
650		0	_aBig data _xSocial aspects _zUnited States
650		0	_aBig data _xPolitical aspects _zUnited States _923090
650		0	_aBig data _xMoral and ethical aspects _zUnited States _923091
650		0	_aSocial indicators _xMathematical models _xMoral and ethical aspects _923092
650		0	_aDemocracy _xUnited States _9368
650		0	_aPolitics, Practical _923093
650		0	_aUnited States _xSocial conditions _y21st century _923094
655		0	_aStatistics _923095
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999			_c3999 _d3999