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020			_a9780553418811 (hardcover)
020			_a9780553418835 (softcover)
020			_z9780553418828 (Ebook)
020			_z9780451497338 (international edition)
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050		4	_aQA76.9.B45 _bO64 2016 EB
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100	1		_aO'Neil, Cathy _0no2013123474 _9102477 _0Local
245	1	0	_aWeapons of math destruction : _bhow big data increases inequality and threatens democracy _cCathy O'Neil
250			_aFirst edition
264		1	_aNew York _bCrown _c[2016]
300			_a1 recurso enlínea
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
504			_aIncluye referencias bibliográficas (páginas 219-252) e índices
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
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
650	0	4	_9495511 _aDatos masivos
776	0	8	_iOnline version: _aO'Neil, Cathy, author. _tWeapons of math destruction _bFirst edition. _dNew York : Crown Publishers, [2016] _z9780553418828 _w(DLC) 2016016487
856	4	0	_uhttps://search.ebscohost.com//login.aspx?direct=true&db=nlebk&AN=1109940&site=eds-live _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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