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Check all NIST AI RMF actions your team has completed for this model.
Model cards, introduced by Mitchell et al. (2019) and adopted by Google, Hugging Face, and federal agencies, provide a standardized way to document AI systems for transparency and accountability. The NIST AI Risk Management Framework (AI RMF 1.0) organizes AI risk into four functions that align directly with model card sections.
Establishes organizational practices, accountability structures, and risk policies. Covers roles, culture, and policies for responsible AI development and deployment.
Categorizes AI risks in context. Identifies intended use, stakeholders, environmental assumptions, and potential negative impacts before deployment.
Quantifies AI risks using metrics, testing, and evaluation. Includes bias/fairness measurement, uncertainty quantification, and performance benchmarking.
Prioritizes and mitigates identified risks. Covers incident response, monitoring, decommissioning plans, and ongoing risk treatment across the model lifecycle.
Key references: NIST AI RMF 1.0 • Google Model Cards (Mitchell et al.) • NIST AI RMF Playbook • Hugging Face Model Cards Guide