Responsible and Societal AI Research
This research area examines how emerging technologies and artificial intelligence are developed, deployed, and governed, with an emphasis on institutional accountability, social responsibility, and equitable outcomes. Research explores responsible AI governance, digital platform accountability, algorithmic transparency, data infrastructures, technology policy, and the societal implications of technological innovation. Additional areas of focus include institutional leadership, public trust, digital rights, technology and social equity, and governance frameworks that promote human-centered and responsible technological development.
Faculty doing research in Responsible and Societal AI.
Todd Pittinsky, PhD
Professor
Ben Zhang, PhD
Assistant Professor