000			03323cam a2200409 i 4500
001			2016003900
003			DLC
005			20240430145813.0
008			160315s2016 nyu b 001 0 eng
010			_a 2016003900
020			_a9780553418811
020			_a0553418815
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
043			_an-us---
050	0	4	_aQA76.9.B45 _bO64 2016
090			_aQA 76.9.B45 O64 2016
100	1		_aO'Neil, Cathy, _eauthor. _99653
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			_ax, 259 pages ; _c22 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 219-252) 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.
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	_aBig data _xSocial aspects _zUnited States. _99654
650		0	_aBig data _xPolitical aspects _zUnited States. _99655
650		0	_aSocial indicators _xMathematical models _xMoral and ethical aspects. _99656
650		0	_aDemocracy _zUnited States. _98156
651		0	_aUnited States _xSocial conditions _y21st century. _99000
776	0	8	_iOnline version: _aO'Neil, Cathy, author. _tWeapons of math destruction _bFirst edition. _dNew York : Crown Publishers, [2016] _z9780553418828 _w(DLC) 2016016487
942			_2lcc _cBOOK
999			_c43376 _d43376
907			_a43376