In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI).

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 …

Consistent with other AI RMF profiles, this profile offers insights into how risk can be managed across various stages of the AI lifecycle and for GAI as a technology.

Jul 13, 2021 · NIST produces publications and other resources which inform and relate to the development of the AI Risk Management Framework. Some of these resources are listed here:

crete decisions and be conducted at regular intervals to adapt to progress in advanced AI systems and AI safety research. Risks should be assessed and mitigated across the AI lifecycle, as appropriate,

NIST AI RMF Playbook The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 – 4 in AI RMF 1.0). Suggestions are …

ARIA (Assessing Risks and Impacts of AI) is a NIST AI Innovation Lab (NAIIL) program for improving AI risk and impact assessment. ARIA evaluation outcomes may improve AI technology, and build up the …

Jul 8, 2022 · It includes suggested actions, references, and related guidance to achieve the outcomes for the four functions in the AI RMF: Govern, Map, Measure, and Manage. Playbook suggestions are …

As artificial intelligence (AI) technology becomes increasingly integrated into our daily lives, there is no shortage of dificult questions about the risks it poses and whether it will negatively or positively affect …

Sep 19, 2024 · The NIST AI Risk Management Framework (AI RMF) was developed to manage the benefits and risks to individuals, organizations, and society associated with AI and covers a wide …