Episode 64 — Establish AI Risk Metrics Dashboards: What to Track and What to Ignore (Domain 2)
A well-designed risk dashboard provides real-time visibility into the health of an organization’s AI ecosystem, but its value depends on selecting the right metrics. This episode explores how to build a dashboard that balances technical telemetry, like model error rates, with program-level metrics, such as the number of outstanding risk assessments. For the AAIR certification, you must understand the danger of "metric overload" and the importance of focusing on indicators that drive action rather than just providing interesting data. We discuss the use of color-coded status indicators (Red, Amber, Green) to signal when risk levels are trending toward thresholds. Troubleshooting a dashboard involves identifying "vanity metrics" that look good but fail to capture the true risk posture of the system. By curating a focused and accurate dashboard, risk professionals provide a reliable "single source of truth" that allows for rapid intervention when AI performance begins to deviate from acceptable norms. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
