I'm confused about the instances of deep-learning vs. non-deep-learning that you're comparing. Do you have any concrete examples in mind, where there's a deep-learning model and a non-deep-learning model addressing the same task, and where the non-deep-learning model might be more interpretable at first blush, but where you argue it's not?
Your non-deep-learning example is a small causal diagram, which might be a “model,” but what does it… do? (Maybe I'm just ignorant here.) Meanwhile the deep learning example you allude to is a neural network which more co... (read more)
I'm confused about the instances of deep-learning vs. non-deep-learning that you're comparing. Do you have any concrete examples in mind, where there's a deep-learning model and a non-deep-learning model addressing the same task, and where the non-deep-learning model might be more interpretable at first blush, but where you argue it's not?
Your non-deep-learning example is a small causal diagram, which might be a “model,” but what does it… do? (Maybe I'm just ignorant here.) Meanwhile the deep learning example you allude to is a neural network which more co... (read more)