No, since in most cases (if "thumbing the scale" was small and not blatant) they can lie and generate a plausible argument that does not involve the actual factor that determined their decision, and any tiny, specific details don't need to be exactly the same as applied to other cases since it's impossible to expect perfect recall or perfect consistency from humans.

If anything, the neural network is more debuggable since you can verify that the decision process you're analyzing (even if complex and hard to understand) was the one actually used in this decision and the same as used for all the other decisions