This lab will be hosted on Monday, October 16 from 8 AM - 12 PM.
The Factor Analysis of Information Risk (FAIR) model and methods are recognized as an Informative Reference to the NIST CSF, adopted as an international standard for risk analysis by The Open Group, aligned to ISO 31000 and other standards, and backed by a worldwide network of risk researchers, managers, and analysts in the FAIR Institute. FAIR helps clarify the risks you face so you can most cost-effectively manage them.
In this course, we will focus on using the basics of quantitative risk analysis with FAIR to measure the risk of Artificial Intelligence in financial and probabilistic terms. The curriculum covers the following:
• Understanding AI’s Impact on an Organization
• Who Needs to Know about AI Risks in Your Organization
• Scoping AI Risks for FAIR Analysis
• Identifying Data Resources for Measuring AI Risks
• Translating to non-technical Stakeholders
Hands-on Lab Experience:
• Running AI Risk Analyses
• AI Comparison Analysis for Controls Justification
• Presenting Results Practice to an Executive Stakeholder
Upon completing the course, participants will receive a Certificate of Completion with 4 CPEs.