It seems a relatively straightforward application of machine learning to learn in which kinds of chess positions humans tend to make mistakes: use a database of human games and computer evaluation of each position. One could also apply ML to a particular human, either opponent modeling or improving oneself.
Can this be generalized? We need other large training sets of examples of humans being correct or making mistakes.
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