Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1)
Companion profile to the NIST AI Risk Management Framework identifying twelve risks unique to or exacerbated by generative AI — including harmful content, human-AI configuration risks, and mental-health-relevant harms — and enumerating ~200 suggested actions mapped to the AI RMF's Govern/Map/Measure/Manage functions. Widely used as the de facto US reference for generative-AI risk programs.
Publisher
NIST
Published
26 Jul 2024
Added
yesterday
DOI
—
Key Findings
- Defines 12 generative-AI risk categories, including 'human-AI configuration' (emotional entanglement, anthropomorphization) and CBRN/harmful-content risks
- Maps ~200 suggested actions to the AI RMF core functions, giving deployers a concrete control checklist
- Non-binding, but referenced by US federal guidance and procurement expectations
Methodology Notes
Consensus guidance document developed through NIST's public comment process; not empirical research.
Sources
NIST AI 600-1 (PDF) (primary)
Archived snapshot (Wayback Machine) — preserved against link rot
Tags
Cite This
APA
NIST (2024). Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1). NIST. https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf