AI Policy and Politics
Research on how AI becomes a political and regulatory issue -- agenda-setting dynamics, partisan polarization, international governance frameworks, and the politics of AI policy formation.
Research at the intersection of AI, governance, and society
Six thematic areas spanning AI policy and politics, industry governance, synthetic media, public opinion, education, and the future of work — each linked to publications, talks, datasets, and projects.
Industry Governance and Responsible AI Practice
Research on how organizations, standards bodies, and industry practitioners govern AI -- including technical standards, the principles-to-practice gap, and responsible AI in sectors like healthcare.
Synthetic Media and Misinformation
Research on political deepfakes, AI-generated content, detection fairness, and governance responses to synthetic media and AI-enabled misinformation.
Public Opinion and Participation
Empirical research on how publics understand, perceive, and engage with AI -- including public opinion surveys, democratic participation, and the role of expert information in shaping AI attitudes.
AI Education and Literacy
Research on how AI ethics and literacy are taught, assessed, and institutionalized -- spanning curriculum design, undergraduate computing education, and AI literacy measurement.
AI and the Future of Work
Research on how AI and automation reshape labor markets, job skills, workforce transitions, and the political economy of AI-driven value extraction.