"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. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile"--Publisher's website.
Record details
ISBN:9781250074317
ISBN:1250074312
ISBN:9781466885967
Physical Description:print 260 pages : illustrations ; 22 cm
Includes bibliographical references (pages 225-251) and index.
Formatted Contents Note:
Machine generated contents note: 1. From Poorhouse to Database -- 2. Automating Eligibility in the Heartland -- 3. High-Tech Homelessness in the City of Angels -- 4. Allegheny Algorithm -- 5. Digital Poorhouse.
Book
