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         <description>Documents describing novel research, guidance, frameworks, roadmaps, exploratory papers in the area of research development, standards and evaluations for Trustworthy and Responsible AI. Within this Series are Subseries for specific groups and document types, including NIST AI 100: Reports; NIST AI 200: Guides; NIST AI 300: Recommendations and Specifications; NIST AI 400: Use Cases and Test Packages; NIST AI 500: Data Management Methods; NIST AI 600: AI Risk Management Profile; and NIST AI 700: Evaluation reports</description>
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         <title>Artificial Intelligence Risk Management Framework (AI Rmf 1.0)</title>
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         <topic>trustworthy and responsible AI</topic>
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    <abstract>As directed by the National Artificial Intelligence Initiative Act of 2020 (P.L. 116-283), the goal of the AI RMF is to offer a resource to the organizations designing, developing, deploying, or using AI systems to help manage the many risks of AI and promote trustworthy and responsible development and use of AI systems. The Framework is intended to be voluntary, rights-preserving, non-sector specific, and use-case agnostic, providing flexibility to organizations of all sizes and in all sectors and throughout society to implement the approaches in the Framework.   The AI RMF is intended to be practical, to adapt to the AI landscape as AI technologies continue to develop, and to be operationalized by organizations in varying degrees and capacities so society can benefit from AI while also being protected from its potential harms.</abstract>
    <note type="statement of responsibility">Elham Tabassi.</note>
    <note>January 2023.</note>
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