" argument is that the use of automated decision-making in social service programs creates a "digital poorhouse" that perpetuates the kinds of negative moral judgments that have always been attached to poverty in America.Eubanks proposes a Hippocratic oath for data scientists, whereby they would vow to respect all people and to not compound patterns of discrimination." The New York Review of Books "Required reading for the modern age, Automating Inequality explains through beautifully rendered individual stories and deeply researched historical analysis why we must remain vigilant and skeptical of the promises of artificial intelligence fed to us by those who stand to gain from their adoption." Cathy O'Neil, New York Times bestselling author of Weapons of Math Destruction The book won the McGannon Center Book Prize for 2018, and has received glowing reviews in the New York Times and Financial Times, and by writers such as Cathy O'Neill, Cory Doctorow and Dorothy Roberts. Deeply researched and passionately written, Automating Inequality could not be more timely. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.
In Automating Inequality, Virginia systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. Recent years have featured writers such as Angela Saini, Philip Ball, Naomi Oreskes and Mark Henderson, and in 2019-20, Virginia Eubanks with be the author of choice.
The STS 1Book programme has run since 2006, with the department choosing one book each year to be read by all staff and students, providing them with a common basis for discussion and learning in the following year. Lauded by writers such as Naomi Klein and Cathy O'Neill, 'Automating Inequality' by Virginia Eubanks is the STS 1Book for 2019-20.
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