Princeton Societal AI

Rather than debating speculative futures or abstract ethical risks, Princeton Societal AI focuses on AI systems on the ground: in the here and now. We ask:

• How are AI systems being put to use in laboratories, libraries and classrooms? 
• What is actually changing about how who knowledge workers are and the work that they do?
• And what does this mean for knowledge, what we can know and what is impossible to know, with AI?

Princeton’s Societal AI combines rigorous empirical studies of actual workplaces with analysis and insights from humanities, social sciences, human-computer interaction, and design. We focus on the places where knowledge is made, and the institutions that safeguard, shephard, and innovate this knowledge for future generations. We use this empirical understanding to build better systems, new auditing tools, and alternative narratives, to shift how we think about the relationship between AI and society in the past and present so we can build a better future.

Co-Investigators

• Molly Crockett: Professor, Psychology and University Center for Human Values
• Matthew Jones: Associate Director; Smith Professor of History, CIFAR Fellow; History
• Lydia T. Liu: Assistant Professor, Computer Science
• Meredith Martin: Professor, Department of English; Director of the Center for Digital Humanities
• Andrés Monroy-Hernández: Associate Professor, Computer Science
• Beth M. Semel: Assistant Professor, Richard Stockton Bicentennial Preceptor; Anthropology
• Janet Vertesi: Director; Associate Professor, Sociology Department; Associate Director, Keller Center for Innovation in Engineering Education; Director of Design Program
• Jamie Wong: Assistant Professor, Anthropology and the Princeton Institute for International and Regional Studies (PIIRS)

Postdoc

• Seyi Olojo: Postdoctoral Research Associate, jointly with the Center for Information Technology Policy (CITP) and the Center for Digital Humanities (CDH)