> On a completely different note, I am not sure what you’re getting at with the racial stuff
What I am saying is that this sort of work can lead to people believing these images as true, i.e. "this is what Roman Emperors looked like". If you ask an ML system to solve a problem for which the inputs cannot possibly determine the answer (i.e. the color of a fossilized animal or the skin color from a person's statue), it will give you a highly biased answer.
I fear that some laypeople think of ML as "magic software that can do anything" without considering whether a problem is non-ambiguous given its inputs (e.g. something like object classification is less ambiguous than this problem).
I'm not saying "burn it to the ground" - I wanted to learn more about what data and model was used to generate these images so that I might understand better where potential sources of racial / ethnographic bias might come from.
> trying to find racial undertones in every tangential thing
If you read my comments history you'll see that I'm no critical race theorist, nor do I discuss everything in a racial context.
Out of curiosity, what "cause" are you talking about?