New Books In Critical Theory

It’s a common refrain: AI is neither good nor bad because that depends on how its used. Professor Anita Say Chan begs to differ. Chan is the author of Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future (U California Press, 2025). Chan is Associate Professor in the School of Information Sciences and Department of Media and Cinema Studies at the University of Illinois at Urbana-Champaign, as well as the author of a prior book Networking Peripheries on tech movements among craftwork communities in Peru. In her current book, Chan documents how the Big Data on which AI are trained are based on long-standing data infrastructures—sets of practices, policies, and logics—that remove, imperil, devalue, and actively harm people who refuse to conform to racialized patriarchal power structures and the priorities of surveillance capitalism—most pointedly immigrant, feminist, and low-income communities. Centered mostly in the United States as well as Latin America, Predatory Data shows how the euge