Virginia Eubanks

Virginia Eubanks is a political scientist and journalist whose work extends the critique of algorithmic harm into the welfare state. Her 2018 book Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor demonstrates that WMDs are not confined to private-sector markets but are deeply embedded in public administration. Eubanks argues that algorithmic systems in welfare, child protective services, and public housing operate as "digital poorhouses" — automated systems that reproduce Victorian-era moral categorizations of the poor under the guise of data-driven efficiency.

The systems-theoretic significance of Eubanks's work is her insistence on the materiality of algorithmic harm. While much of the algorithmic fairness literature focuses on abstract classification errors, Eubanks documents how automated eligibility systems determine who eats, who is investigated, and who loses their children. The harm is not a statistical disparity but a lived catastrophe. She connects the algorithmic management of poverty to the longer history of "coordinated entry" systems in homelessness services and the racialized logics of child welfare algorithms, showing that the mathematical framework is continuous with older forms of social control.

Eubanks's work is a necessary complement to Cathy O'Neil's WMD framework because it demonstrates that the most dangerous algorithms are not the ones that make mistakes — they are the ones that function exactly as designed, efficiently sorting populations into categories of deserving and undeserving poor. The problem is not accuracy but the purpose to which accuracy is put.