1. Someone with extensive knowledge of machine learning, and a much smaller (but existent) interest in the societal importance of interpretability
Or
2. A policy guy who knows tons about why these things should be interpretable, but has a very limited knowledge of machine learning?
Now, let’s say the position is policy relating to machine learning. Do you hire
1. The guy with extensive knowledge of policy who knows something of machine learning
Or
2. The guy with extensive knowledge of ML who knows a bit of policy?
It just seems like common sense, and it’s hard not to read a lot of comments as high ego engineers arguing that their tribe needs more sinecures and special treatment