Ranjit Singh

Ranjit Singh is the director of Data & Society’s AI on the Ground program, where he leads research on the social impacts of algorithmic systems, the governance of AI in practice, and emerging methods for public engagement and accountability. His work examines how people live with and make sense of AI, with particular attention to how algorithmic systems and everyday practices shape one another. His current research focuses on the integration of AI tools into scientific practice, asking how these tools transform reasoning, evidentiary standards, and epistemic accountability in the sciences. Across these efforts, he follows data-driven technologies as they enter ordinary institutional life, tracing how they alter the terms of participation, recognition, judgment, and accountability across scientific and bureaucratic settings.

Ranjit also guides research ethics and supports equitable practices for collaborative research, both within Data & Society and with external partners. He has previously led and contributed to projects on the conceptual vocabulary y stories of living with AI in/from the majority world, the role of algorithmic impact assessments in regulating AI, the place of public red-teaming in AI evaluation, y the keywords that ground ongoing research into the datafied state.

Ranjit holds a PhD in science and technology studies from Cornell University. His dissertation examined Aadhaar, India’s biometrics-based national identification system, showing how identity infrastructures enable and constrain inclusive development while reshaping the nature of Indian citizenship.