AI Governance Insights
Krishna discusses the importance of feedback controls in evaluating AI responses, particularly in regulated industries like finance and insurance. He explains how Fiddler's auditor tool helps create comprehensive model risk management reports, assessing various aspects such as safety, bias, and data leakage. This transparency is crucial for organizations looking to adopt generative AI while navigating regulatory challenges.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
690: How to Catch and Fix Harmful Generative A.I. Outputs — with Krishna Gade
Related Questions
How does that all get rolled up into a scorecard? What does the scorecard summarize?
Tell me something about testing as a tool in the context of the episode AI For Good - Detecting Harmful Content at Scale // Matar Haller // #245 and the clip Analyzing Model Scores
What are the interactions between the features and predictions of the model?