Rodrigo Brandao

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The “social specs” for the automation were based on time-worn, race- and class-motivated assumptions about welfare recipients that were encoded into performance metrics and programmed into business processes: they are lazy and must be “prodded” into contributing to their own support, they are sneaky and prone to fraudulent claims, and their burdensome use of public resources must be repeatedly discouraged. Each of these assumptions relies on, and is bolstered by, race- and class-based stereotypes. Poor Black women like Omega Young paid the price.
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
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