I see two approaches for explaining the outcome: 1. Reasoning back on the result and justifying it. 2. Explainability - somehow justifying by looking at which neurons have been called. The first could lead to lying. E.g. think of a high schooler explaining copied homework. While the second one does indeed access the paths influencing the decision, but is a hard task due to the inherent way neural networks work.