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"Understanding and Implementing the NIST AI Risk Management Framework (RMF)" is a comprehensive course designed for AI practitioners, risk managers, compliance officers, and organizational leaders aiming to apply the National Institute of Standards and Technology’s (NIST) AI Risk Management Framework. This course provides a detailed understanding of the RMF’s principles, guidelines, and best practices to help organizations identify, assess, and manage risks associated with AI systems. Participants will explore the core components of the NIST AI RMF, including governance, risk assessment,...
Introduction
1. Overview: The Need of an AI Risk Management Framework
2. Sections 1-2: Foundational Information Framing Risk
3. Sections 3-4: AI Risks, Trustworthiness, and Effectiveness
4. Section 5: Core
5. Section 6, Appendix AD: AI RMF Profiles
Conclusion
Lyron Andrews
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