Overview
The AI RMF is intended to improve the integration of trustworthiness into the lifecycle of AI systems. Developed through collaboration with over 240 organizations across private industry, academia, and government, the framework includes guidelines for understanding AI risks, ensuring trustworthiness, and implementing effective risk management practices. It is structured around four core functions—Govern, Map, Measure, and Manage—with use-case profiles customizable to specific applications and settings. Appendices provide in-depth details like how AI risks differ from traditional software risks and tasks performed by AI actors. The AI RMF aims to create effective risk dialogues and guidelines for trustworthy AI.