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
Call for Proposals
Trust Issues
Apply by January 19: With trust in decline, our forthcoming workshop will move toward a concept of trust as a relational process. Together, we'll develop theories about how trust and mistrust shape data-centric technologies and the ways they unfold.
Commentary
Unpacking the AI Executive Order
In an in-depth piece for Brookings, Senior Policy Fellow Sorelle Friedler, Executive Director Janet Haven, and Policy Director Brian J. Chen explain how the AI executive order and OMB guidance prepare the federal government to be a model for accountable AI — and why congressional action is still needed.
Explainer
Challenging Worker Datafication
Digital technologies have enabled unprecedented expansion in the volume and kinds of data collected about workers. But who has control over deciding what the data means, where it goes, and how it is used? In this explainer, Alexandra Mateescu outlines recent approaches to worker data and explores ongoing questions, critiques, and possibilities.
Op-Ed
Resisting the Siren Song of "AI Safety"
The popular emphasis on “AI safety” could make it more difficult to challenge AI’s structural harms and risks narrowing the aperture of solutions, D&S Policy Director Brian J. Chen writes in Tech Policy Press.