The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.
2024年6月20日 · AI risk management is the process of systematically identifying, mitigating and addressing the potential risks associated with AI technologies. It involves a combination of tools, practices and principles, with a particular emphasis on deploying formal AI …
AI risk management is a key component of responsible development and use of AI sys-tems. Responsible AI practices can help align the decisions about AI system design, de-velopment, and uses with intended aim and values. Core concepts in responsible AI em-phasize human centricity, social responsibility, and sustainability. AI risk management can
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 reflects risk management priorities.
2022年7月8日 · In collaboration with the private and public sectors, NIST has created a companion AI RMF playbook for voluntary use – which suggests ways to navigate and use the AI Risk Management Framework (AI RMF) to incorporate trustworthiness considerations in the design, development, deployment, and use of AI systems.
NIST developed the voluntary NIST AI Risk Management Framework (AI RMF) to help individuals, organizations, and society manage AI’s many risks and promote trustworthy development and responsible use of AI systems. NIST was directed to prepare the Framework by the National Artificial Intelligence Initiative Act of 2020 (P.L.116-283).
A team of researchers affiliated with the Center for Long-Term Cybersecurity have released a resource to help identify and mitigate the risks and potentially harmful impacts of general-purpose artificial intelligence (AI) systems (GPAIS) such as GPT-4 (the large language model used by ChatGPT and other applications) and DALL-E 3, which is used t...
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions.
To achieve a strong AI governance and risk management, it is crucial to establish multiple security layers when deploying AI programs. The three Lines of Defence (3LoD) model is a fundamental framework that delineates three integral layers of defence, each with unique
them as appropriate, including by adding minimum risk management practices. All updates to high-impact AI use and associated minimum risk management practices must be provided to the APNSA.6 Within 180 days of the issuance of this AI Framework, covered agencies shall begin following these practices before using new or existing high-impact AI: