The NIST AI Resource Center (AIRC) was developed to support the operationalization of the NIST AI Risk Management Framework (AI RMF). The AIRC offers access to relevant technical documents and resources (including software tools and guidance) to assist in the testing, evaluation, verification, and validation (TEVV) of AI.
The AI Risk Management Framework - Key Resources
The AI RMF
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The AI RMF - Core Framework
NIST’s voluntary framework for conceptualizing AI Risk Management.
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The AI RMF - Playbook
Suggested actions and documentation practices to help achieve the outcomes in the AI RMF.
Applying the AI RMF
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AI RMF Profiles
Extending the AI RMF concepts to specific technologies, use cases, and sectors.
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AI RMF Use Cases
Artifacts from organizations applying the AI RMF.
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AI RMF Crosswalks
Linking the AI RMF to other governance frameworks.
Technical Reports that Support AI Risk Management
NIST research on AI standards, measurement, terminology, and more.
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Securing Software Development Framework (SSDF) Version 1.2: Recommendations for Mitigating the Risk of Software Vulnerabilities NIST SP 800-218 REV. 1 (Initial Public Draft)
Describes new and improved practices, tasks, and examples for the secure and reliable development, delivery, and improvement of software.
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Assessing Risks and Impacts of AI (ARIA) 0.1: Pilot Evaluation Report NIST AI 700-2
Describes the procedure used for a pilot of NIST’s Assessing Risks and Impacts of AI (ARIA) evaluation: ARIA 0.1. The pilot evaluation demonstrates the feasibility of a new approach to evaluation of AI systems: combining data from expert annotators and human testers, illustrated by a transparent measurement tool.
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Global Engagement on AI Standards NIST AI 100-5e2025
Establishes a global engagement plan to promote AI standards based on NIST risk management principles.
Contact us
If you have questions or comments about the NIST AI Resource Center, AI trustworthy topics, or about NIST’s AI trustworthiness activities, send us an email: AIframework@nist.gov.