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NIST AI RMF
A framework from the U.S. National Institute of Standards and Technology that helps organizations manage risks associated with artificial intelligence.
TECHNICAL DEFINITION
The NIST AI Risk Management Framework (AI RMF) is a voluntary, non-sector-specific guidance document developed by the National Institute of Standards and Technology to help organizations identify, assess, and manage risks throughout the AI lifecycle, promoting trustworthy AI system design, development, deployment, and use.
BACKGROUND
Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics and computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- NIST AI Framework
- AI RMF
- National Institute of Standards and Technology AI RMF
USAGE NOTE
Organizations use the NIST AI RMF to build a robust risk management strategy for their AI systems.
DEVELOPERS
Organizations developing technology related to NIST AI RMF.
Credo AI offers an AI governance platform designed to help organizations manage AI risks, ensure compliance with regulations, and operationalize responsible AI frameworks, including alignment with the NIST AI Risk Management Framework.
PwC provides advisory services and develops proprietary methodologies and tools to help clients implement and comply with the NIST AI Risk Management Framework, focusing on AI governance, risk assessments, and trust.
Deloitte's AI & Analytics practice offers consulting services and develops solutions for AI governance, risk management, and compliance, actively leveraging and helping clients implement the NIST AI Risk Management Framework.
IBM develops AI governance tools and platforms, such as IBM watsonx.governance, designed to help enterprises manage AI risks, ensure transparency, and comply with standards like the NIST AI Risk Management Framework.
Microsoft offers responsible AI tools, services, and best practices within its Azure AI platform and through its consulting arm, helping organizations design, develop, and deploy AI systems in alignment with AI risk management principles, including those outlined in the NIST AI RMF.
Arthur AI provides an AI performance and observability platform that helps organizations monitor, measure, and manage AI models, offering critical capabilities for assessing and mitigating risks as prescribed by the NIST AI Risk Management Framework.
TruEra develops a platform for AI quality, explainability, and bias detection, which are essential components for measuring and managing AI risks and ensuring the trustworthiness of AI systems in accordance with the NIST AI Risk Management Framework.