Data & Society studies the social implications of data-centric technologies, automation, and AI.
Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.
The Latest from Data & Society
Event
Data & Society at 10: Foreseeable Futures
On September 26, join us online as we celebrate our first decade with our incredible network of alumni, friends, and supporters — including a panel discussion and lightning talks.
Explainer
A Sociotechnical Approach to AI Policy
Brian J. Chen and Jacob Metcalf explain what a sociotechnical perspective is and why it matters in policy.
Report
Medicalizing Inequity: The Risks of Financial Wellness for Workers
Tamara K. Nopper's report explores how financial wellness programs subject workers to vast amounts of data collection and surveillance, asking: who ultimately benefits from framing financial status as a matter of health?
Event
Black Maternal Health is in Crisis. Can Technology Help?
Watch: Joan Mukogosi, Dr. Mary Fleming, and Ijeoma Uche discuss the implications of an increasingly data-driven response to the Black maternal health crisis.
Spotlights
AI on the Ground
Primer
Enrolling Citizens: A Primer on Archetypes of Democratic Engagement with AI
Wanheng Hu, Ranjit Singh
Points
Measuring Justice: Field Notes on Algorithmic Impact Assessments
Tamara Kneese
Report
Blooming in Muddy Waters: DEI at AI Ethics Conferences
Emnet Tafesse with Meg Young, Ranjit Singh, and Jacob Metcalf