These aren't all critiques, but they do discuss issues with both the field and the models.

https://arxiv.org/abs/2011.03395

https://openreview.net/forum?id=xNOVfCCvDpM

https://arxiv.org/abs/2110.09485#:~:text=The%20notion%20of%20interpolation%20and,outside%20of%20that%20convex%20hull.

https://towardsdatascience.com/the-reproducibility-crisis-and-why-its-bad-for-ai-c8179b0f5d38

https://ai100.stanford.edu/2021-report/standing-questions-and-responses/sq10-what-are-most-pressing-dangers-ai

And then, of course, there are the oft-discussed topics like bias in data, the reliance on expensive equipment, and proprietary data that is closed off to researchers.