§32 · Lane 7 — Australian Regulatory Primary Instruments
NIST AI 600-1 — Generative AI Profile
NIST (2024) · NIST AI 600-1
Bibliographic data
- Title
- NIST AI 600-1 — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (July 2024)
- Authors / Issuing body
- National Institute of Standards and Technology (NIST), U.S. Department of Commerce
- Venue / Publisher
- U.S. Department of Commerce, NIST
- Year
- 2024
- Designation
- Standard
- Licence
- Stable URL — refer to publisher for full licence terms.
- Canonical link
- https://www.nist.gov/itl/ai-risk-management-framework
How to cite
NIST (2024). NIST AI 600-1 — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (July 2024). U.S. Department of Commerce, NIST. https://www.nist.gov/itl/ai-risk-management-framework.
The generative-AI specific profile of the NIST AI RMF (§31). Identifies twelve risk categories unique or exacerbated by generative AI — confabulation, dangerous content, data privacy, environmental, human-AI configuration, information integrity, information security, intellectual property, obscene content, toxicity, value chain, and value alignment — and recommends 200+ actions across the Govern / Map / Measure / Manage functions.
Why it matters for NETEVO
The 600-1 profile is the most operationally detailed international document on generative-AI specific governance. Two operational consequences follow.
First, the twelve risk categories pair cleanly with §11 (ISO/IEC 42005 impact assessment) Annex C harms-and-benefits taxonomy. The 600-1 categories give NETEVO a generative-AI specific overlay for the AIIA workflow without abandoning the ISO/IEC schema.
Second, the 200+ recommended actions are a procurement-ready checklist for any NETEVO client deploying generative AI. Many AU clients are deploying generative AI ahead of clear AU regulatory expectations on the modality; 600-1 fills the gap with US-authored but internationally-citable substance. Cross-walking 600-1 actions into §27 (NSW AIAF) and §29 (Voluntary AI Safety Standard) language gives clients an AU-readable artefact backed by the most detailed international generative-AI substrate.
Per the Lane 7 binding constraint, cross-jurisdictional benchmark framing only. Cite 600-1 when generative-AI specificity is needed; do not present it as the AU regulatory anchor.
Where NETEVO applies this
- AI Governance in ANZ Whitepaper — generative-AI section — international substrate
- Agent Infrastructure Whitepaper — generative-AI governance overlay