We study how AI systems and everyday practices shape one another. Rather than starting from abstract principles or preset categories of harms or promises, our research begins with understanding the organized settings in which AI is designed, built, procured, and used.
Our projects interrogate the infrastructural and social conditions that make AI systems possible and how they are sustained and governed in practice, with particular attention to the judgments, tensions, and adaptations that shape ongoing implementation.
Our research spans those who build and procure systems and those who use and are affected by them. We believe that the impact of AI systems and policies can only be fully understood by observing, listening, and speaking with people on the ground — from government and industry practitioners, to scientists and engineers, to community members and activists.
Across institutional, professional, and community settings, we are committed to producing empirical insights to support AI policy, design, and oversight. We aim not only to critique AI systems, but to offer practical tools for more reflexive and responsible sociotechnical practice in making sense of AI.