NIST promotes innovation and cultivates trust in the design, development, use and governance of artificial intelligence (AI) technologies and systems in ways that enhance our safety, economic …

The AI RMF refers to an AI system as an engineered or machine-based system that can, for a given set of objectives, generate outputs such as predictions, recommenda- tions, or decisions …

•describes the stakes and challenge of bias in artificial intelligence and provides ex-amples of how and why it can chip away at public trust; •identifies three categories of bias in AI — systemic, …

Jan 17, 2025 · The U.S. AI Safety’s Institute’s (US AISI) mission is to identify, measure, and mitigate the risks of advanced AI systems so that we can harness the enormous potential of …

Advancing the measurement science for AI: defining, characterizing, and theoretically and empirically developing and analyzing quantitative and qualitative metrics and measurement …

Mar 31, 2020 · NIST develops tools to measure and understand the capabilities and limitations of artificial intelligence (AI) technologies. NIST’s role in AI is to develop the foundational and …

AI RMF profiles assist organizations in deciding how to best manage AI risks in a manner that is well-aligned with their goals, considers legal/regulatory requirements and best practices, and …

AI: An Administration Perspective 2 “ Artificial intelligence holds tremendous potential as a tool to empower the American worker, drive growth in American industry, and improve the lives of the …

Oct 28, 2019 · Learn more about AI at NIST and see resources at NIST's Trustworthy & Responsible AI Resource Center.

Ontologies in Artificial Intelligence One requirement of Artificial Intelligence (AI) is the ability to understand, reason, and learn with new data sets in a manner that produces expected and …