Show notes
In this episode, we sit down with Michael Novack to talk about the AI Explainability Scorecard, a practical framework for evaluating whether AI explanations are actually useful, trustworthy, and actionable.
Michael walks us through the SCORE framework, covering five key dimensions: Sound, Consistent, Optimize, Readable, and Easy. We discuss why “the AI gave an explanation” is not enough, how convincing explanations can still be misleading, and why teams need a structured way to measure explainability before trusting AI-driven decisions.
From compliance and auditability to security…
Website: devsecopspodcast.com.br
