{
  "node_id": "nist-ai-600-1-gen-ai-profile",
  "title": "Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile",
  "domain": "AI Governance & Law",
  "version": "1.0.0",
  "last_updated": "2024-07-25",
  "bluf": "This document is a cross-sectoral profile of and a companion resource for the AI Risk Management Framework (AI RMF 1.0) for Generative AI, developed pursuant to Executive Order 14110 on Safe, Secure, and Trustworthy Artificial Intelligence. It is intended for voluntary use by organizations to improve their ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems. The profile assists organizations in managing AI risks in a manner that is well-aligned with their goals, considers legal and regulatory requirements, and reflects risk management priorities.\n\nThis profile defines risks that are novel to or exacerbated by the use of Generative AI (GAI) and provides a set of suggested actions to help organizations govern, map, measure, and manage these risks across the AI lifecycle. The focus of the suggested actions is limited to four primary considerations: Governance, Content Provenance, Pre-deployment Testing, and Incident Disclosure. It is designed to be used by various AI actors to manage risks associated with activities common across sectors, such as the use of large language models (LLMs). The profile focuses on risks for which there is an existing empirical evidence base, such as confabulation, information integrity, harmful bias, and data privacy.",
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  "dependencies": [
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  "primary_citations_count": 8
}