Management of AI Risk

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).

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

Goals

Prerequisites

Requirements

• A basic understanding of information security.

• A willingness and commitment to learn.