I absolutely agree. Probabilistic statements are fine and useful. Assumptions X equals Y in speech probably not. How to exactly address this is not quite clear, that's why I thought the article was quite interesting.

(and obviously fixing the labelling of professor = man in text generation is actually much less useful for gender equality say than dealing with actual issues that lead to the P(X|category1)!=P(X|category2))