The NIST AI Risk Management Framework (AI RMF 1.0, NIST AI 100-1, 2023) is a voluntary, widely adopted framework for identifying, assessing, and managing risks across the AI lifecycle. It organizes practice around four core functions—Govern, Map, Measure, and Manage (their version of Plan-Do-Check-Act seen in API 1173)—and describes characteristics of trustworthy AI, including validity and reliability, safety, security and resilience, accountability and transparency, explainability, privacy, and fairness.
Although domain-agnostic, it maps naturally onto Process Safety Management, which is itself a structured risk-management discipline. For an AI-in-PSM resource the framework provides a common vocabulary and process for governing AI tools used in safety-critical settings: it helps organizations decide what evidence of trustworthiness an AI application must provide before it influences PHA, alarm management, predictive maintenance, or emergency decisions. Its emphasis on context-setting (Map) and continuous measurement (Measure) aligns with PSM's lifecycle and management-of-change expectations, and it supplies a defensible structure for documenting AI risk decisions that can withstand audit and regulatory scrutiny. It is frequently referenced as the baseline for responsible industrial AI.
