LEADER 00000cam a22006497i 4500 
001    19799080 
008    161103s2016    nyu|||||||||||001 0|eng|  
020    9780553418835|q(pbk.) 
020    0553418831|q(pbk.) 
020    9780451497338|q(international edition) 
020    9780553418811|q(hardcover) 
020    0451497333|q(international edition) 
020    0553418815|q(hardcover) 
020    |z9780553418828 ((ebook) 
041    eng 
082 00 005.7|223 
092 0  005|bengelska 
100 1  O'Neil, Cathy|4aut 
245 10 Weapons of math destruction :|bhow big data increases 
       inequality and threatens democracy /|cCathy O'Neil 
250    First edition 
264  1 New York :|bCrown,|c[2016] 
300    x, 259 pages|c22 cm 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographical references (pages 219-252) and 
       index 
520    "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    "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 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. This important book empowers us to ask 
       the tough questions, uncover the truth, and demand 
       change."--Dust jacket 
650  0 Big data|xSocial aspects|zUnited States 
650  0 Big data|xPolitical aspects|zUnited States 
650  0 Social indicators|xMathematical models|xMoral and ethical 
       aspects 
650  0 Democracy|zUnited States 
650  7 Sociala indikatorer|2sao 
650  7 Matematiska modeller|2sao 
650  7 Algoritmer|2sao 
650  7 Big data|xsociala aspekter|2sao 
650  7 Big data|xpolitiska aspekter|2sao 
651  0 United States|xSocial conditions|y21st century 
651  7 Förenta staterna|2sao 
907 00 161124