Oh! One more critical point for an ELI5! 'Although models that make use of non-invertible, artifical features may still be biased, it's less likely. Using only

Oh! One more critical point for an ELI5! 'Although models that make use of non-invertible, artifical features may still be biased, it's less likely. Using only invertible features eliminates some risks of bias, but not others.' At this point I think one might have to explain the Naturalistic Fallacy (which accounts for much of the remaining possibility of bias in a model) but it starts to get into tit-for-tat hand-to-hand ontology: what 'bias' means, what different kinds of bias are possible, and how even 'unbiased data' can create a model that demonstrates behaviours that colloquially and idiomatically count as biased. But one must cut the cloth of the universe somewhere