The NIST AI Resource Center (AIRC) was developed to support the operationalization of the NIST AI Risk Management Framework (AI RMF). The AIRC includes structured access to relevant technical documents and resources to assist in the testing, evaluation, verification, and validation (TEVV) of AI; and software tools, resources and guidance.
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
Recent and featured NIST research on AI standards, measurement, terminology, and more.
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Reducing Risks Posed by Synthetic Content NIST AI 100-4
Report examines tools and standards to label, detect, and prevent harmful uses of generative AI.
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Global Engagement on AI Standards NIST AI 100-5
Establishes a global engagement plan to promote AI standards based on NIST risk management principles.
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Managing the Risk of Misuse for Dual-Use Foundation Models NIST AI 800-1
These draft guidelines identify best practices for developers of foundation models to manage the risks that their models will be deliberately misused to cause harm.
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.