The paper lists some of the downsides of machine learning but skips the upsides. If you think of something like "How Google Translate squeezes deep learning onto a phone" featured here recently (https://news.ycombinator.com/item?id=9969000 ) it may stop working well because the world changes in that new fonts get trendy but it is probably easier just to retrain on new fonts than to adjust a non machine learning solution - if there is one for that problem. High-Interest credit card seems unfair. Occasional service charge might be closer.
> The paper lists some of the downsides of machine learning but skips the upsides.
This is entirely correct but I do not think it is a valid criticism of the paper -- the paper does not set out to answer the question of "is machine learning worth using operationally?".
