---
reference_key: nist-airmf
title: "NIST AI Risk Management Framework 1.0"
url: "https://www.nist.gov/itl/ai-risk-management-framework"
availability: available
capture_method: primary
captured_at: 2026-06-23T03:30:14Z
document_id: REF-nist-airmf
---

# NIST AI Risk Management Framework 1.0

| Field | Value |
|-------|-------|
| **Reference key** | `nist-airmf` |
| **Availability** | AVAILABLE |
| **Capture method** | `primary` |
| **Source type** | remote_url |
| **URL / path** | https://www.nist.gov/itl/ai-risk-management-framework |
| **Captured (UTC)** | 2026-06-23T03:30:14Z |
| **Content type** | text/html; charset=UTF-8 |
| **HTTP status** | 200 |

## Boardroom Citation Context

MVAP P1 governance baseline; NIST Govern/Map alignment in Study Ch. 34.

## Source Location

https://www.nist.gov/itl/ai-risk-management-framework





## Captured Content

```text
AI Risk Management Framework | NIST Skip to main content An official website of the United States government Heres how you know Heres how you know Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ( Lock A locked padlock ) or https:// means youve safely connected to the .gov website. Share sensitive information only on official, secure websites. https://www.nist.gov/itl/ai-risk-management-framework Search NIST Menu Close Publications What We Do All Topics Advanced communications Artificial intelligence Bioscience Buildings and construction Chemistry Cybersecurity and Privacy Electronics Energy Environment Fire Forensic science Health Information technology Infrastructure Manufacturing Materials Mathematics and statistics Metrology Nanotechnology Neutron research Performance excellence Physics Public safety Quantum information science Resilience Standards Transportation Labs & Major Programs Assoc Director of Laboratory Programs Laboratories Communications Technology Laboratory Engineering Laboratory Information Technology Laboratory Material Measurement Laboratory Physical Measurement Laboratory User Facilities NIST Center for Neutron Research CNST NanoFab Research Test Beds Research Projects Tools & Instruments Major Programs Baldrige Performance Excellence Program CHIPS for America Initiative Manufacturing Extension Partnership (MEP) Office of Advanced Manufacturing Special Programs Office Technology Partnerships Office Services & Resources Measurements and Standards Calibration Services Laboratory Accreditation (NVLAP) Quality System Standard Reference Materials (SRMs) Standard Reference Instruments (SRIs) Standards.gov Time Services Office of Weights and Measures Software Data Chemistry WebBook National Vulnerability Database Physical Reference Data Standard Reference Data (SRD) Storefront License & Patents Computer Security Resource Center (CSRC) NIST Research Library News & Events News Events Blogs NIST In Focus Feature Stories Awards Video Gallery Image Gallery Media Contacts About NIST About Us Leadership Organization Structure Budget & Planning Contact Us Visit Careers Student programs Work with NIST History NIST Digital Archives NIST Museum NIST and the Nobel Educational Resources Information Technology Laboratory AI Risk Management Framework AI RMF Development NIST AI RMF Playbook AI RMF Critical Infrastructure Profile Engage Resources Perspectives FAQs AI @ NIST On April 7, 2026, NIST released a concept note for an AI RMF Profile on Trustworthy AI in Critical Infrastructure . The profile will guide critical infrastructure operators towards specific risk management practices to consider when engaging AI-enabled capabilities. Learn more . The AI RMF 1.0 is being revised. Quick Links Download the AI RMF 1.0 View the AI RMF Playbook Visit the AI Resource Center Overview of the AI RMF Led by the Information Technology Laboratory (ITL) AI Program, and in collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems. Released on January 26, 2023, the Framework was developed through a consensus-driven, open, transparent, and collaborative process that included a Request for Information, several draft versions for public comments, multiple workshops , and other opportunities to provide input. It is intended to build on, align with, and support AI risk management efforts by others ( Fact Sheet ). A companion NIST AI RMF Playbook also has been published by NIST along with an AI RMF Roadmap , AI RMF Crosswalk , and various Perspectives . On March 30, 2023, NIST launched the Trustworthy and Responsible AI Resource Center , which will facilitate implementation of, and international alignment with, the AI RMF. Examples of how other organizations are building on and using the AI RMF can be found via the AIRCs Use Case page . On July 26, 2024, NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile . The profile can help organizations identify unique risks posed by generative AI and proposes actions for generative AI risk management that best aligns with their goals and priorities. On April 7, 2026, NIST released a concept note for an AI RMF Profile on Trustworthy AI in Critical Infrastructure . The profile will guide critical infrastructure operators towards specific risk management practices to consider when engaging AI-enabled capabilities. To view public comments received on the previous drafts of the AI RMF and Requests for Information, see the AI RMF Development page. Translations NIST AI Risk Management Framework (Arabic) NIST AI Risk Management Framework (Japanese) Prior Documents Second draft of the AI Risk Management Framework (August 18, 2022) Initial draft of the AI Risk Management Framework (March 17, 2022) Concept paper to help guide development of the AI Risk Management Framework (December 13, 2021) Brief summary of responses to the July 29, 2021, RFI (October 15, 2021) Draft -Taxonomy of AI Risk (October 15, 2021) AI Risk Management Framework Request for Information (July 29, 2021) Contact Us aiframework [at] nist.gov (aiframework[at]nist[dot]gov) News & Updates NIST Risk Management Framework Aims to Improve Trustworthiness of Artificial Intelligence January 26, 2023 New guidance seeks to cultivate trust in AI technologies and promote AI innovation while mitigating risk. NIST Seeks Comments on AI Risk Management Framework Guidance, Workshop Date Set August 18, 2022 NIST is seeking comments on a second draft of the NIST Artificial Intelligence Risk Management Framework (AI RMF). The AI RMF is intended for voluntary use in... Symposium Focuses on AI and the Economy and the Path for Responsible and Inclusive AI April 27, 2022 The U.S. Department of Commerce, NIST, FinRegLab, and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) hosted a symposium on "Artificial... NIST Seeks Comments on Draft AI Risk Management Framework, Offers Guidance on AI Bias March 17, 2022 Seeking to promote the development and use of artificial intelligence (AI) technologies and systems that are trustworthy and responsible, NIST today released... View All News and Updates Was this page helpful? 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*Archived reference article for AICSR-STUDY-2026-001 footnote corpus.*