Guidance · NIST
NIST AI Risk Management Framework (AI RMF 1.0)
A voluntary, sector-agnostic US framework that organizes AI risk work into four functions - Govern, Map, Measure and Manage.
- Status
- AI RMF 1.0 released January 2023; Generative AI Profile (NIST AI 600-1) published July 2024
- Last reviewed
- Last verified
- (mixed on cited-URL check)
- Industries
- Cross-industry, Aerospace & aviation, Defense & national security, Other safety-critical
What it is
The AI RMF was released in January 2023 and is intended for voluntary use. NIST describes it as voluntary, rights-preserving, non-sector specific, and use-case agnostic. The downloadable text is Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1.
Those four adjectives are the engineering constraint: a defense or aerospace program can use the AI RMF; NIST does not, on the pages we cite, make it a contract clause, a CMMC overlay, or an aviation means of compliance. The DoD Responsible AI Toolkit is separately built upon the NIST AI Risk Management Framework and Toolkit, among other sources — that is CDAO’s statement about the toolkit, not a NIST mandate.
The four functions
The Core is composed of four functions: Govern, Map, Measure and Manage. Each function is broken into categories and subcategories.
- Govern is a cross-cutting function infused throughout the other three.
- Map establishes the context to frame risks related to an AI system.
- Measure employs quantitative, qualitative, or mixed-method tools, techniques, and methodologies to analyze, assess, benchmark, and monitor AI risk.
- Manage entails allocating risk resources to mapped and measured risks, including plans to respond to, recover from and communicate about incidents.
NIST is explicit that the actions do not constitute a checklist, nor are they necessarily an ordered set of steps. Govern remains a cross-cutting function infused throughout the other three, so a program that only fills Map/Measure/Manage worksheets is not following the Core as NIST describes it.
ISO’s AI risk-management guidance document is ISO/IEC 23894. We have not found an official NIST crosswalk from the AI RMF to 23894. For how 23894 sits next to the SC 42 life-cycle process standard, see ISO/IEC 23894 and 5338 for engineering teams.
Profiles
NIST published the Generative AI Profile (NIST AI 600-1) on July 26, 2024. It is a cross-sectoral profile, meaning an implementation of the AI RMF functions for a specific technology. See NIST AI 600-1 for defense contractors and NIST AI 600-1 suggested actions for generative AI on a defense program.
Relationship to other frameworks
- NIST publishes crosswalks to the AI RMF, including a mapping to ISO/IEC 42001. NIST states that inclusion of a crosswalk does not imply NIST endorsement of the resource the AI RMF is mapped to. See the ISO 42001 page and ISO 42001 vs NIST AI RMF for defense contractors. ISO’s AI risk-management guidance document is ISO/IEC 23894. We have not found an official NIST crosswalk to 23894 on the pages we cite.
- The DoD Responsible AI Toolkit is built upon the NIST AI Risk Management Framework and Toolkit, among other sources. See DoD Responsible AI.
- NIST AI RMF is a risk-management framework. It does not define an aviation certification process; for that, see the FAA roadmap and EASA concept paper.
Primary sources
AI RMF 1.0 (NIST AI 100-1) is free to download from NIST.
Sources
- Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 - NIST
- AI RMF Core (excerpt from AI RMF 1.0) - NIST AI Resource Center
- Crosswalks to the NIST AI RMF - NIST
- AI RMF: Generative Artificial Intelligence Profile (NIST AI 600-1) - NIST
- NIST AI RMF to ISO/IEC FDIS 42001 crosswalk - NIST AI Resource Center
- Crosswalk Documents (NIST AI Resource Center) - NIST AI Resource Center
- CDAO Releases Responsible AI (RAI) Toolkit - Department of War