As a sociologist, Mona Sloane studies the intersection of technology and society, specifically in the context of AI design, use and policy. She also convenes the Co-Opting AI series, a public speaker series focused on all aspects of AI technology and its application, ranging from security to food, games, and more, and serves as the Technology Editor for Public Books.
The Women in AI Ethics (WAIE) global initiative added her to its “100 Brilliant Women in AI Ethics Hall of Fame” in 2020. A frequent public speaker and commentator, Sloane has written for The Guardian, MIT Technology Review, The Hill, Nature, Frankfurter Allgemeine Zeitung, OneZero Medium and other outlets.
Her work includes the development of new methods for AI auditing and AI transparency, innovating AI procurement, AI in hiring and talent acquisition, AI participation and public education, new AI tools for investigative journalism, global AI policy and local governance innovation on AI, and a range of different responsible AI topics.
Sloane holds a Ph.D. from the London School of Economics and Political Science and has completed fellowships at the University of California at Berkeley, at the University of Cape Town and at the Weizenbaum Institute Berlin. Before joining UVA, Mona was a research assistant professor at NYU’s Tandon School of Engineering, a senior research scientist at the NYU Center for Responsible AI, and the founding director of the *This Is Not A Drill* program, which develops public pedagogy on art, equity, technology, and the climate emergency.
Since 2021, she has served on the board of the Artificial Intelligence & Equality Initiative of the Carnegie Council for Ethics and International Affairs. Sloane currently is a Fellow with the NYU Institute for Public Knowledge and The GovLab, and is affiliated with the Tübingen AI Center in Germany where she recently completed a 3-year federally funded research project on the operationalization of ethics in German AI startups.
At UVA, she runs the Sloane Lab which conducts empirical research on the implications of technology for the organization of social life. Its focus lies on AI as a social phenomenon that intersects with wider cultural, economic, material, and political conditions. The lab spearheads social science leadership in applied work and research on responsible AI, public scholarship, and technology policy.