The point is that you trust those people. You can't trust a black-box model, but you can trust a result if the explanation that is provided actually explains it. That is, if the explanation has factors X, Y, and Z, then every time those hold the result should be the same.

Otherwise, you are just trusting the training set and the training process. Sometimes that's fine, as the article also mentions.