This is literally what people are talking about when they say AI will be used to mainstream widely held bigotry. LLMs are trained on frequency and probability -> straight relationships are more well represented in the dataset -> straight pronouns and terms become the "correct" normal.
This is a form of backdoor bigotry from both normative facts (there are more straight than gay relationships) and well represented bigoted beliefs (men are superior to women).
Combine this with the mass of people inclined to believe (and being encouraged to believe) that if AI says and does something it must be correct
"AIs" are just giant statistical models that work by detecting consistent patterns in data. When creating an AI, it has to be "trained" on input data created by humans. Unfortunately subconscious biases are often the most consistent patterns in that input data.
