The relevance/connection of the following now escapes me but I already wrote it so here it is. I want to detect cheating in high level chess by estimating the

The relevance/connection of the following now escapes me but I already wrote it so here it is. I want to detect cheating in high level chess by estimating the humanness of chess moves with AI. The idea is simple. Take a huge database of GM matches, run stockfish on each position and train a classifier to map position+move to human/fish/both. Hopefully this can be done with less compute than coming up with the moves themselves The problem is that if "fishy" moves can be identified, they can also be avoided. This could be done with adversarial training or just by using the above as a filter on stockfish output.