Data & Society is an independent, nonprofit 501(c)(3) research institute. We are committed to the independence and autonomy of Data & Society’s initiatives and convenings. We do not accept funding that would affect our ability to pursue work free of external interference, and we fiercely protect the independence of our researchers and fellows in their intellectual activities and individual funding relationships. Read more in our statement on organizational independence and gift acceptance.
Research and policy for the public interest
Data & Society believes that technology policy must be grounded in empirical evidence, account for tech’s real-world impacts, and serve the public.
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The Latest from Data & Society
Call for Proposals
What is Work Worth? Exploring What Generative AI Means for Workers’ Lives and Labor
On May 8 and 9, we’re hosting an online workshop on the intersection of generative AI technologies and work. Learn more about what we’re looking for and apply by February 7.
Points
What Does Silicon Valley Want?
In a personal reflection, Brian J. Chen offers some lines of inquiry, directions, and tentative explanations for understanding and engaging on matters of tech policy in this moment.
Points
Insights from the Data for Black Lives Conference
Anuli Akanegbu reflects on the connections between data practices and systemic racism, and offers resolutions to guide work that prioritizes the humane over the artificial.
Primer
Generative AI and Labor: Power, Hype, and Value at Work
This new primer shows that understanding how AI will affect work requires examining how work is organized, how industries are structured, and whose and what work is valued.
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