Management of AI Risk
Description:
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:
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
Part 2: Core and Profiles
AI RMF Core
5.1 Govern
5.2 Map
5.3 Measure
5.4 Manage
AI RMF Profiles
Walk through of Appendix Documents
Walk through of list of tables used in publication
Conducting a Practical AI Risk Assessment
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