Ranjit Singh is the director of Data & Society’s AI on the Ground program, where he oversees research on the social impacts of algorithmic systems, the governance of AI in practice, and emerging methods for organizing public engagement and accountability. At Data & Society, he has previously led projects mapping the conceptual vocabulary and stories of living with AI in/from the majority world, framing the place of algorithmic impact assessments in regulating AI, and investigating the keywords that ground ongoing research into the datafied state. He holds a PhD in Science and Technology Studies from Cornell University.