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
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?
Points
Why AI Safety Requires A Sociotechnical Approach
Our top ten reads for those interested in understanding why advancing AI safety requires a sociotechnical approach to AI governance.
Report
Establishing Vigilant Care: Data Infrastructures and the Black Birthing Experience
In her new report, Joan Mukogosi considers an often overlooked question: How might digital technologies meant to improve health outcomes for Black birthing people be producing new forms of harm?
Event
Black Maternal Health is in Crisis. Can Technology Help?
On July 18 at 1 pm ET, join D&S's Joan Mukogosi, Dr. Mary Fleming, and Ijeoma Uche to 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