What Artificial Intelligence Risk Management Framework (AI RMF 1.0) requires
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 its approaches. The framework equips organizations and individuals, referred to as AI actors, with approaches that increase the trustworthiness of AI systems, and helps foster the responsible design, development, deployment, and use of AI systems over time. The core of the framework describes four specific functions to help organizations address the risks of AI systems in practice. These functions - GOVERN, MAP, MEASURE, and MANAGE - are broken down further into categories and subcategories. While GOVERN applies to all stages of an organization's AI risk management processes, the MAP, MEASURE, and MANAGE functions can be applied in AI system-specific contexts and at specific stages of the AI lifecycle. The framework is designed to be practical, to adapt to the AI landscape as technologies develop, and to be operationalized by organizations in varying degrees so society can benefit from AI while also being protected from its potential harms.
Pillar: AI Governance & Law · Authority: National Institute of Standards and Technology · Version: 1.0.0 · Last updated:
Primary source: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf
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Primary Citations — 10 traced to source
- Executive Summary: 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, recommendations, or decisions influencing real or virtual environments.
- Section 1.1: Risk management refers to coordinated activities to direct and control an organization with regard to risk" (Source:ISO31000:2018).
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