000 04007cam a2200517Ii 4500
001 932385614
003 OCoLC
005 20250203142131.0
008 160315s2016 nyu b 001 0 eng
010 _a2016003900
019 _a957230777
020 _a9780553418811
_q(hardcover)
020 _a0553418815
_q(hardcover)
020 _a9780553418835
_q(pbk.)
020 _a0553418831
_q(pbk.)
020 _z9780553418828
_q(ebook)
020 _a9780451497338
_q(international edition)
020 _a0451497333
_q(international edition)
035 _a(OCoLC)932385614
_z(OCoLC)957230777
040 _aDLC
_beng
_erda
_cDLC
_dYDXCP
_dBTCTA
_dBDX
_dOCLCO
_dOCLCQ
_dON8
_dOCLCO
_dFM0
_dOU9
_dFMG
_dBUR
_dVP@
_dGZT
042 _apcc
043 _an-us---
050 0 0 _aQA76.9.B45
_bO64 2016
082 0 0 _a005.7
_223
100 1 _aO'Neil, Cathy,
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
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 _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 reÌsumeÌs, 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
504 _aIncludes bibliographical references (pages 219-252) and index
650 0 _aBig data
_xSocial aspects
_zUnited States
650 0 _aBig data
_xPolitical aspects
_zUnited States
650 0 _aSocial indicators
_xMathematical models
_xMoral and ethical aspects
650 0 _aDemocracy
_zUnited States
_94090
651 0 _aUnited States
_xSocial conditions
_y21st century
776 0 8 _iOnline version:
_aO'Neil, Cathy, author.
_tWeapons of math destruction.
_bFirst edition.
_dNew York : Crown Publishers, [2016]
_z9780553418828
_w(DLC) 2016016487
596 _a1
948 _au609536
903 _a33008
999 _c33008
_d33008