When drawing an equivalence the burden of proof is on the person who believes two different things are the same. The null hypothesis is that different things are in fact different. Present a coherent argument & then you will see whether your question makes any sense or not.
They have to do this manually for every single particular bias that the models generate that is noticed by the public.
I'm sure there are many such biases that aren't important to train out of responses, but exist in latent space.