AI governance, ethics, and policy — how institutions, standards, and public debate shape our life with artificial intelligence.

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 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.

Research on political deepfakes, AI-generated content, detection fairness, and governance responses to synthetic media and AI-enabled misinformation.

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.

Research on how AI ethics and literacy are taught, assessed, and institutionalized -- spanning curriculum design, undergraduate computing education, and AI literacy measurement.

Research on how AI and automation reshape labor markets, job skills, workforce transitions, and the political economy of AI-driven value extraction.