Explainability has emerged as a critical AI research objective, but the breadth of proposed methods and application domains suggest that criteria for explanation vary greatly. In particular, what counts good explanation, kinds are computationally feasible, become trickier in light oqaque “black box” systems such deep neural networks. Explanation cases drifted from many philosophers stipulated h...