Interesting article. Some things are weird. I don't know why a support vector machine is ranked better than Bayesian nets, or why they are both worse than ensemble methods w.r.t. interpretability.

However, I think the human should not be in the loop. The network should have another semantic layer that serves communication. It can be done from the ground up like Steels or Vogt have been doing.

In other words, yes we need insight, but I prefer it through introspective networks. The network should be able to explain itself.