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Management of AI Risk-Implementing the NIST AI RMF

In an era where artificial intelligence (AI) is transforming industries and enhancing decision-making processes, the need for effective risk management has never been more critical. This course, "Management of AI Risk," provides a comprehensive exploration of the NIST AI-100-1 Risk Management Framework (RMF), equipping participants with the knowledge and skills necessary to identify, assess, and mitigate risks associated with AI systems.

By doing this course, you will receive an in-depth and thorough, word for word walk-through of all the information presented in the NIST AI RMF documentation.

You will also get an opportunity to perform a practical AI Risk assessment using Google SAIF.

The course covers the following areas as presented by the NIST AI-100-1 publication:

1. Part 1: Foundational Information

   • Framing Risk

     • 1.1 Understanding and Addressing Risks, Impacts, and Harms

     • 1.2 Challenges for AI Risk Management

     • 1.2.2 Risk Tolerance

     • 1.2.3 Risk Prioritization

     • 1.2.4 Organizational Integration and Management of Risk

       
       

   • Audience

   • AI Risks and Trustworthiness

     • 1.2.4 Organizational Integration and Management of Risk

     • 3.2 Safe

     • 3.3 Secure and Resilient

     • 3.4 Accountable and Transparent

     • 3.5 Explainable and Interpretable

     • 3.6 Privacy-Enhanced

     • 3.7 Fair – with Harmful Bias Managed

   • Effectiveness of the AI RMF

2. Part 2: Core and Profiles

   • AI RMF Core

     • 5.1 Govern

     • 5.2 Map

     • 5.3 Measure

     • 5.4 Manage

   • AI RMF Profiles

3. Walk through of Appendix Documents

4. Walk through of list of tables used in publication

5. Conducting a Practical AI Risk Assessment

6. Application and Implementation of the NIST AI RMF

   • Roadmap for Implementing NIST AI RMF

   • Playbook for Implementing NIST AI RMF

   • Case Scenarios for Implementing NIST AI RMF

   • Crosswalk Documents for the development of the NIST AI RMF