> The state of the art in facial recognition technology has been superhumanly accurate (e.g. telling apart identical twins better than humans can, finding pictures with significant weight or age differences) on all subgroups for several years now, and the racial disparities in accuracy are minuscule relative to the level of noise.

That may be true of state of the art models that have been demonstrated under some conditions; it continues not to be true, frequently, of models actually adopted in major products, even new ones, in the actual deployment conditions (e.g., the recently adopted CBP One app that US asylum seekers are required to use for appointment scheduling and other purposes, and which requires facial recognition, and disproportionately fails for dark skinned users, who are not uncommon in the population required to use the app.)