https://www.youtube.com/watch?v=93Xv8vJ2acI
There's a lot of good points in there from both sides, but what really stuck with me is that given the choice between an explainable model and a black box model that works better (more accurate predictions), most people choose the black box model.
And there is no reason to expect that a deep learning model has to be unexplainable. He’s putting up a mystical interpretability vs accuracy tradeoff which does not exist.
There is a ton of research out there making deep neural networks (slightly to significantly interpretable)
People love to be told what to do. Even if in the face of overwhelming real world evidence people blindly follow their GPS, and to ignore it can cause a lot of stress.