PERSON
Virginia Eubanks
The scholar who followed the algorithm to the other end of the screen—where welfare applicants, homeless families, and investigated parents discover that the digital tools reshaping America were built to manage the poor rather than to end poverty.
Virginia Eubanks came to artificial intelligence from welfare-rights organizing, and that origin explains everything about what she sees. Born in 1972 and trained in science and technology studies at Rensselaer Polytechnic Institute, she built her career on a methodological commitment that the technology industry structurally cannot reproduce: she asks the people on the receiving end of a system what the system actually does to them. Her central concept, the
digital poorhouse, names the distributed network of eligibility algorithms, predictive risk models, and automated denial engines that have replaced the physical institution while preserving its function—the management and moral sorting of the poor at greater speed, scale, and concealment behind the clean authority of mathematics. She documented this apparatus in three case studies—Indiana’s catastrophic automated welfare privatization, Los Angeles’s data-hungry homeless housing system, and Allegheny County’s predictive family-screening tool—that together demonstrate a structural truth: many of the most consequential automated systems are working exactly as designed, and the