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

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Lyron Andrews

1:22:38

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01 - Introduction

01 - Implement the NIST risk management framework.mp4

00:44

02 - 1. Overview The Need of an AI Risk Management Framework

01 - Why the need for an AI RMF.mp4

03:04

02 - The origin and overview of NIST AI RMF.mp4

04:04

03 - 2. Sections 1-2 Foundational Information Framing Risk

01 - Understanding and addressing risks, impacts, and harms Sections 1.1.mp4

04:01

02 - Challenges, measurement, and tolerance Sections 1.2-1.2.2.mp4

04:32

03 - Prioritization and integration Sections 1.2.3-1.2.4.mp4

03:10

04 - Audience Section 2.mp4

02:48

04 - 3. Sections 3-4 AI Risks

01 - Trustworthiness, valid, and reliable Sections 3-3.1.mp4

04:25

02 - Safe, secure, resilient, accountable, and transparent Sections 3.2-3.4.mp4

03:51

03 - Explainable, interpretable, and privacy Sections 3.5-3.6.mp4

03:06

04 - Fair, with harmful bias managed Section 3.7.mp4

03:14

05 - Effectiveness Section 4.mp4

03:00

05 - 4. Section 5 Core

01 - AI RMF Core Section 5.mp4

02:42

02 - Govern Section 5.1, C1.mp4

03:55

03 - Govern Section 5.1, C23.mp4

02:25

04 - Govern Section 5.1, C46.mp4

02:56

05 - Map Section 5.2, C1.mp4

03:26

06 - Map Section 5.2, C25.mp4

03:33

07 - Measure Section 5.3, C1.mp4

02:34

08 - Measure Section 5.3, C24.mp4

04:54

09 - Manage Section 5.4.mp4

04:45

10 - Using the Playbook to operationalize AI RMF Core.mp4

03:21

06 - 5. Section 6, Appendix AD AI RMF Profiles

01 - Overview of profiles Section 6.mp4

03:01

02 - Overview of Appendices AD.mp4

03:16

07 - Conclusion

01 - Where do you begin.mp4

01:51

Description

AI seems to be on everyone’s minds these days. But while it can be helpful, AI poses serious risks, so developing a culture of best practices and guidelines is imperative. Organizations today need to adopt an AI risk management scheme to ensure that the advantages of AI use are preserved but that the risks are mitigated to meet the needs of the business.

In this course, instructor Lyron Andrews provides an overview of the six elements of NIST AI Risk Management Framework (RMF) and demonstrates how they can be applied effectively, efficiently, and ethically within a business. After completing this course, you’ll be ready to implement and maintain a risk management framework at your organization.

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Risk Management

Lyron Andrews

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.