> It takes domain experts to judge whether or not a model correct, to identify the known and unknown unknowns and limitations of these models.
Arguably true, but I still claim the domain expert test-performance is below that of a modeling expert. No knowledge/preconceptions: Try it all, let evaluation decide. Expert domain knowledge/preconceptions: This can't possibly work!
Domain experts need to focus on decision science (what policies to build on top of model output). Data scientists need to focus on providing model output to make the most accurate/informed decisions downstream.