Cover of Automating Inequality

Automating Inequality

by Virginia Eubanks, Eubanks · first published 2018

15mentions
9recommended by
13HN commenters
2018–2026first – last mentioned

69% recommend31% neutral

Why HN recommends it

Examines how data mining, predictive risk models and automated eligibility systems affect poor and working-class people in America, making a clear case for skepticism toward algorithmic public policy.

Summarised by Claude from recommending comments

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 child

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Mentions per year

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What Hacker News says

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