Current Focuses
New Paradigms for AI Development; Agile and Robust AI Governance
My research develops the legal, regulatory, and technical infrastructure for artificial intelligence that operates within human normative frameworks. I lead a research group of computer scientists, cognitive scientists, and legal scholars at Johns Hopkins University that develops training environments and architectures that enable AI to become "normatively competent." I also develop practical, evidence-based policy proposals anchored in my foundational research on "regulatory markets"—private regulators competing to provide oversight while themselves subject to government regulation—to address the challenge of governing rapidly evolving AI systems.