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LinkedIn Learning

Understanding and Implementing the NIST AI Risk Management Framework (RMF)

via LinkedIn Learning

Overview

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Learn how to implement and maintain the core principles of the NIST AI Risk Management Framework (RMF) within a business.

Syllabus

Introduction
  • Implement the NIST risk management framework
1. Overview: The Need of an AI Risk Management Framework
  • Why the need for an AI RMF
  • The origin and overview of NIST AI RMF
2. Sections 1-2: Foundational Information – Framing Risk
  • Understanding and addressing risks, impacts, and harms: Sections 1.1
  • Challenges, measurement, and tolerance: Sections 1.2-1.2.2
  • Prioritization and integration: Sections 1.2.3-1.2.4
  • Audience: Section 2
3. Sections 3-4: AI Risks, Trustworthiness, and Effectiveness
  • Trustworthiness, valid, and reliable: Sections 3–3.1
  • Safe, secure, resilient, accountable, and transparent: Sections 3.2–3.4
  • Explainable, interpretable, and privacy: Sections 3.5–3.6
  • Fair, with harmful bias managed: Section 3.7
  • Effectiveness: Section 4
4. Section 5: Core
  • AI RMF Core: Section 5
  • Govern: Section 5.1, C1
  • Govern: Section 5.1, C2–3
  • Govern: Section 5.1, C4–6
  • Map: Section 5.2, C1
  • Map: Section 5.2, C2–5
  • Measure: Section 5.3, C1
  • Measure: Section 5.3, C2–4
  • Manage: Section 5.4
  • Using the Playbook to operationalize AI RMF Core
5. Section 6, Appendix A–D: AI RMF Profiles
  • Overview of profiles: Section 6
  • Overview of Appendices A–D
Conclusion
  • Where do you begin?

Taught by

Lyron Andrews

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