Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
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Author: Virginia Eubanks
Number Of Pages: 288
Release Date: 06-08-2019
WINNER: The2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting."
Naomi Klein: "This book is downright scary."
Ethan Zuckerman, MIT: "Should be required reading."
Dorothy Roberts, author of Killing the Black Body: "A must-read."
Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year."
Cory Doctorow: "Indispensable."
A powerful investigative look at data-based discrimination―and how technology affects civil and human rights and economic equity
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.
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, f