From Saliency to Systems: Operationalizing XAI with X-SYS
The explanation worked in the notebook; then production happened A familiar enterprise AI story begins with a reassuring demo. A model produces a questionable prediction. Someone opens a notebook, runs SHAP, LIME, a saliency map, a concept attribution method, or whatever interpretability tool is currently fashionable enough to appear in slide decks. The plot looks plausible. The team nods. Compliance is told that explainability has been “implemented.” ...