Not sure why you're making a distinction between ML and deep learning here. both of them can be black boxes. Calculating the area of a square can be a black box

Not sure why you're making a distinction between ML and deep learning here. both of them can be black boxes. Calculating the area of a square can be a black box if all you know is how to plug numbers into the formula. A big part of machine learning is looking at weights and outputs to make sure the results are sane and that you have an understanding of what's going on. This is true no matter what algorithm you use to make predictions.