Artificial Intelligence Risk Management Framework
Generative Artificial Intelligence Profile
By National Institute of Standards and Technology (NIST)
About this book.
This companion to NIST's AI Risk Management Framework examines risks that are unique to or intensified by generative AI. It offers suggested actions for governance, content provenance, pre-deployment testing, and incident disclosure, organized around the framework's Govern, Map, Measure, and Manage functions.
Publication: NIST AI 600-1, July 2024. Format: Original PDF, 64 pages.
Source credit: Chloe Autio; Reva Schwartz; Jesse Dunietz; Shomik Jain; Martin Stanley; Elham Tabassi; Patrick Hall; Kamie Roberts. (2024). Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. NIST AI 600-1. https://doi.org/10.6028/NIST.AI.600-1. Republished courtesy of the National Institute of Standards and Technology. Source: https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence Original PDF: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf Rights: U.S. federal work; NIST worldwide reprint grant. License or reuse statement: https://www.nist.gov/open/copyright-fair-use-and-licensing-statements-srd-data-software-and-technical-series-publications
EPS provides the original, unmodified PDF as a free resource. Original notices and contributor credits remain intact. No endorsement of EPS is implied by any author, publisher, agency, or trademark owner.
Republished courtesy of the National Institute of Standards and Technology. Use does not imply endorsement by NIST or the U.S. Government. The original is available free of charge from NIST.
About the author.
National Institute of Standards and Technology (NIST)
NIST published this profile with contributions from its Generative AI Public Working Group, staff, and guest researchers. The individual authors are credited below and in the PDF.
