L4sBotAug 1, 2023

An Asian MIT student asked AI to turn an image of her into a professional headshot. It made her white with lighter skin and blue eyes.

https://lemmy.world/post/2472279

An Asian MIT student asked AI to turn an image of her into a professional headshot. It made her white with lighter skin and blue eyes. - Lemmy.world

An Asian MIT student asked AI to turn an image of her into a professional headshot. It made her white with lighter skin and blue eyes.::Rona Wang, a 24-year-old MIT student, was experimenting with the AI image creator Playground AI to create a professional LinkedIn photo.

Show threadExclamatoryProdundityAug 1, 2023
Look, I hate racism and inherent bias toward white people but this is just ignorance of the tech. Willfully or otherwise it’s still misleading clickbait. Upload a picture of an anonymous white chick and ask the same thing. It’s going go to make a similar image of another white chick. To get it to reliably recreate your facial features it needs to be trained on your face. It works for celebrities for this reason not a random “Asian MIT student” This kind of shit sets us back and makes us look reactionary.
Show threadkadu
The point, which you’ve missed, is that AI is being trained on datasets that reinforced stereotypes, poisoning the models and reinforcing things that could become very problematic as AI gets used more without proper supervision.
Aug 1, 2023 at 5:26pmWeb
Show threadExclamatoryProdundityAug 1, 2023
Didn’t miss the point. It was trained on images of people. The majority of images it had access to were white faces because that’s what was available to scrape. Too many white people are represented in media. Isn’t that the underlying point? AI is merely reflecting that, as it was designed to do. That reflection is embarrassing. Like a toddler with a potty mouth. Not the kids fault.
Show threadkaduAug 1, 2023

AI is merely reflecting that, as it was designed to do.

Yes. And everybody knows that. Your comment doesn’t really add anything.

The point is that is a problem that should be fixed - AI models need more diverse datasets, and the limitations from the biased datasets we do have need to be properly communicated to users.

Show threadExclamatoryProdundityAug 1, 2023
No we’re on the same page. But since you came off hostile from the start, I’m going to assume that’s the kind of interaction you’re looking for. Look elsewhere.
Show threadkaduAug 1, 2023
Yeah no… After calling a genuine concern “misleading clickbait” you don’t get to say I’m being hostile from the start and your comment is totally “in the same page”.
Show threadExclamatoryProdundityAug 1, 2023
I’m allowed to do whatever I want and you’re allowed to be willfully obtuse. Doing great so far. Keep telling the world how it should work rather than try to understand it and offer solutions. It’s gonna work out for you I’m sure of it.
Show threadBlamemetaAug 1, 2023
Too many white people, meanwhile 2/3rds of America is white. That’s the actual problem, it’s based on American datasets, and finding a balanced dataset is impossible.
Show threadafraid_of_zombiesAug 2, 2023

We live in the world where when my 9 year old daughter was born she could Skype video chat with grandma in South East Asia.

All this venture capital flowing around with all this data out there and we can’t deal with a sizeable fraction of the human race? We really can’t find some people from Asia?

Show threadAbouBenAdhemAug 1, 2023

The majority of images it had access to were white faces because that’s what was available to scrape.

It doesn’t just create an average of all the faces tagged as “professional”—it identifies features that distinguish faces tagged as “professional” from ones that aren’t. If the same proportion of ethnicities were in both data sets (i.e., if professionals and non-professionals were both all white, or all Asian, or 50/50), it wouldn’t see a correlation, and it wouldn’t change the subject’s existing ethnicity.

Show threadafraid_of_zombiesAug 2, 2023

Yeah sure it is just holding up a mirror and none of us like what we see. Don’t blame the mirror.

The thing is there is plenty of blame to go around. Yes, there are horrible racial biases in the world. That doesn’t mean that these well known documented repeatedly issues can’t be addressed. The emperor may have no clothing but that doesn’t mean we should all be naked.

You are allowed to fix your software so that it isn’t racist even if that doesn’t make racism go away.