What NIST GenAI Playbook 2024 - Companion to AI RMF for Generative AI: Suggested Actions for GOVERN/MAP/MEASURE/MANAGE Functions, Generative AI-Specific Risks (Confabulation/CSAM/Homogenisation/Misuse), Evaluator Profiles and Test Sets requires
This NIST guidance provides actionable steps for federal agencies and AI developers to govern, map, measure, and manage generative AI systems, with emphasis on mitigating risks such as confabulation, misuse, and homogenisation. Key requirements include robust evaluation frameworks and transparency in deployment, as outlined in the core functions of the AI Risk Management Framework (AI RMF) as applied to generative AI.
Pillar: AI Governance & Law · Authority: National Institute of Standards and Technology (NIST) · Version: 1.0.1 · Last updated:
Primary source: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf
SHA-256 integrity: 24459bba03554bc6a46d94a5c682640b887f8951b67bfe1deef5f09afba3cea5
Primary Citations — 5 traced to source
- NIST GenAI Playbook 2024 - Companion to AI RMF for Generative AI, https://airc.nist.gov/Docs/1, see source document, 2024
- NIST AI Risk Management Framework (AI RMF) 1.0, https://www.nist.gov/itl/ai-risk-management-framework, see source document, 2023
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