LEADER 00000cam a22006257i 4500 
001    22428979 
008    180209s2017    nyua||||||||||001 0|eng|d 
020    9781250074317|q(hardback) 
020    1250074312|q(hardback) 
041    eng 
082 04 362.5|223/swe 
092 0  362.5|bengelska 
100 1  Eubanks, Virginia,|d1972-|4aut 
245 10 Automating inequality :|bhow high-tech tools profile, 
       police, and punish the poor /|cVirginia Eubanks 
264  1 New York, NY :|bSt. Martin's Press,|c[2017] 
264  4 |c©2017 
300    260 pages|billustrations|c22 cm 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographical references and index 
520    "The State of Indiana denies one million applications for 
       healthcare, foodstamps and cash benefits in three 
       years—because a new computer system interprets any mistake
       as “failure to cooperate.” In Los Angeles, an algorithm 
       calculates the comparative vulnerability of tens of 
       thousands of homeless people in order to prioritize them 
       for an inadequate pool of housing resources. In Pittsburgh,
       a child welfare agency uses a statistical model to try to 
       predict which children might be future victims of abuse or
       neglect. Since the dawn of the digital age, decision-
       making in finance, employment, politics, health and human 
       services has undergone revolutionary change. Today, 
       automated systems—rather than humans—control which 
       neighborhoods get policed, which families attain needed 
       resources, and who is investigated for fraud. While we all
       live under this new regime of data, the most invasive and 
       punitive systems are aimed at the poor." --from dust 
       jacket 
650  0 Poor|xServices for|zUnited States|xData processing 
650  0 Poverty|zUnited States 
650  0 Technology and state|zUnited States 
650  7 Fattigdom|2sao 
650  7 Teknik och politik|2sao 
650  7 Fattiga|2sao 
651  7 Förenta staterna|2sao