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
Points
Reckoning with Mis/Disinformation in 2024
In this four-part series, members of our research network lay out essential questions and insights to bolster public discourse in fraught times.
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.
Points
A Working History of the Verified Internet
In part two of her series, Robyn Caplan unpacks the battle between Friendsters and Fakesters.
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.
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