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Risk + governance plan (NIST AI RMF MAP + MEASURE)
In this lesson
Risk + governance plan (NIST AI RMF MAP + MEASURE)
Map AI system risks across technical, ethical, regulatory, and business dimensions by applying the NIST AI RMF MAP function to identify contexts, capabilities, and potential impacts before making go/no-go deployment…
You'll be able to
- Map AI system risks across technical, ethical, regulatory, and business dimensions by applying the NIST AI RMF MAP function to identify contexts, capabilities, and potential impacts before making go/no-go deployment decisions[^5].
- Measure AI risks using NIST AI RMF MEASURE function categories to validate system reliability, document generalizability limitations, and track risks where traditional measurement techniques are not yet available[^3][^7].
- Evaluate the sufficiency of existing privacy and cybersecurity frameworks (NIST Cybersecurity Framework, NIST Privacy Framework) for addressing AI-specific risks such as harmful bias, generative AI challenges, and machine learning attacks including evasion and model extraction[^4].
- Create a cross-sectoral risk profile that governs, maps, measures, and manages risks for common AI activities such as large language model deployment or cloud-based AI services, incorporating feedback from diverse internal teams and external stakeholders[^1][^5].
- Apply risk tracking approaches for AI systems operating in environments where metrics are incomplete or where side effects cannot be predicted using statistical measures alone, documenting computational costs and environmental impacts[^3][^4].