The team is honored for the development and timely release of a framework and accompanying playbook to map, measure, and manage AI risk. The AI Risk Management Framework was the result of an innovative socio-technical approach to AI risk management. The team led the community through a consensus-driven, open, transparent, and collaborative process to identify key characteristics of trustworthy AI systems, producing a voluntary, flexible, rights-preserving, non-sector-specific, science-backed, and use-case-agnostic tool to manage AI risks across the AI lifecycle.