As the AI Science Advisor to the California Governor's Office of Emergency Services (Cal OES), Michael Chen will advise senior leadership on frontier AI safety and risk assessment, with a particular emphasis on critical safety incidents, AI and cyber defense, and risk from developers' internal deployment of AI, such as sabotage by AI agents and automated AI R&D. As Science Advisor, he will also coordinate with AI governance leads across California's state government and facilitate cross-sector collaboration with the academic research community, the private sector, and community and nonprofit organizations.

Michael previously worked on evaluations-based AI governance at METR, an independent California-based nonprofit evaluator of autonomous AI agent capabilities and risks. He advised leading AI developers on frameworks for assessing, mitigating, and transparently disclosing catastrophic AI risks. He also assisted with third-party evaluations, including a review of a developer's report assessing sabotage risk from AI agents, and contributed to a catalog of incidents in which AI agents acted beyond their operators' intent. Michael has engaged with U.S. government bodies on frontier AI evaluation, including the Center for AI Standards and Innovation (CAISI) at the National Institute of Standards and Technology (NIST), and conducted research at UC Berkeley's Center for Human-Compatible AI on learning human preferences for language models. His research and commentary on AI have been covered in outlets such as Time, The Guardian, and MIT Technology Review. Michael is a part-time PhD student at the University of Oxford and an affiliate of the Oxford Martin AI Governance Initiative.