Research

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 benchmarking and fairness, and watermarking, labeling, and governance responses to synthetic media.

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 ethics education, and AI literacy measurement.

Research on worker well-being, labor-market change, AI governance and ethics skills, workforce transitions, and the political economy of AI-driven value extraction.

Cross-disciplinary work spanning criminal justice, organizational methods, teacher professional networks, and other projects outside the primary AI-focused research areas.