Mona Sloane is an Assistant Professor of Data Science and Media Studies at the University of Virginia, where she directs Sloane Lab, an interdisciplinary research group that produces some of the most policy-relevant empirical work on how AI restructures professional life and shapes institutions. Her research has driven real-world change: from exposing hallucination harms in hospital AI transcription tools (covered by the AP, Wired, Financial Times, and PBS NewsHour) to developing new frameworks for AI auditing adopted by practitioners and regulators. We live in a world of oracles. Artificial intelligence now mediates how we find work, access healthcare, make friends, and navigate institutions - and almost none of us know how. Dr. Mona Sloane does. One of the most compelling voices bridging social science and AI, she turns that gap between technical system and social reality into her primary research terrain. What sets Sloane apart from the crowded field of AI critics is her insistence that critique is the beginning, not the end. Alongside her diagnostic work, she has built original tools, institutions, and governance frameworks—from an AI transparency methodology published in Nature Machine Intelligence to a first-of-its-kind public database of hiring AI products, to a student-led technology governance body at UVA that is becoming a national model. Her agenda sits at the intersection of rigorous social science, practical institutional change, and technological innovation. Sloane is equally known as a public scholar and editor. Since 2019 she has convened the popular Co-Opting AI public speaker series—now more than 50 episode—bringing together researchers, practitioners, and innovators to examine AI across every domain of social life, from agriculture and athletics to geopolitics and intimacy. As Technology Editor at Public Books, she shapes one of the most widely read venues for public intellectual engagement with technology. She is a regular presence in major international media, cited and interviewed by outlets including the Associated Press, the Financial Times, Wired, PBS NewsHour, The Atlantic, and the Frankfurter Allgemeine Zeitung. In 2026, she published her first book, Predicted: How AI Is Restructuring Social Life (University of California Press)—a landmark account of what she calls the “prediction paradigm”: the way AI has elevated prediction from a useful engineering tool to the organizing logic of everyday social life, from hiring and healthcare to education and intimate relationships. Sloane has spoken at the White House Office of Science and Technology Policy, the Federal Trade Commission, the National Academies of Sciences, the United Nations, the Library of Congress, the Institute for Advanced Study at Princeton, and the European Commission. She regularly keynotes for global corporations and government audiences in both English and German, and her writing has appeared in Nature, MIT Technology Review, the Frankfurter Allgemeine Zeitung, The Guardian, The Hill, and Issues in Science and Technology. She holds a PhD from the London School of Economics.