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by wzdd
970 days ago
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> of course I'd paint a stereotype to make sure it looks Indian Would you? That's pretty boring: Given the vagueness of the prompt, you're actually free to paint anyone, from Kumari Mayawati to Satya Nadella. Not doing "the obvious", whether that's a harmful stereotype or just a tired trope, is part of what makes art art. But from the images, of which there are hundreds, all of them extremely similar, I wouldn't think "an Indian person". I'd think something far more specific: an old bearded Indian man wearing a turban. Which is sort of the article's point. Interestingly, trying the same prompt in my local installation of Stable Diffusion, I got quite a lot more variety in terms of age and sex (though I couldn't really escape turbans and bindis). So this actually seems fixable even for very vague prompts, despite the implication of your comment that the problem is with the user. |
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If I were to be honest, yes. There would probably be a lot more diversity in my paintings than demonstrated in the article, but ultimately my experience would be limited to what I see in the immigrant community, popular culture, and the news. For the most part, those are very narrow slices of Indian society. More important, it will reflect what I see most often in those categories and is unlikely to reflect facets I rarely see.
If anything, AI art could probably do better than I when properly prompted. One could choose someone who would is likely to exist (a farmer in India or a university student in India) and the model would likely have some "idea" of what they look like. Perhaps a language model can massage vague prompts to create more specific and representative ones automatically, to further reduce individual bias. (I say reduce because it's ultimately limited to the data that has been fed to it, but it should have a broader scope than an individual person has.)