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Generative AI bias can be substantially *worse* than in society at large. One example: “Women made up a tiny fraction of the images generated for the keyword ‘judge’ — about 3% — when in reality 34% of US judges are women . . . .In the Stable Diffusion results, women were not only underrepresented in high-paying occupations, they were also overrepresented in low-paying ones.”
#AI #GenAI #GenerativeAI #LLM #LLMs
bloomberg.com/graphics/2023-ge

Bloomberg · Generative AI Takes Stereotypes and Bias From Bad to WorseBy Leonardo Nicoletti
CJ Paloma

@smach I am entirely cynical enough to believe that -some- of the dudes pushing so hard for AI right now are very consciously aware of this and see it as a feature, not a bug.

@CJPaloma It's pretty clear that some (NOT all!) are unbothered by it. In general, though, the gender - and racial - imbalance in the field vs population as a whole somewhat by definition means a higher risk of these kinds of outcomes.

@smach yeah, I get that the math based realities would already recreate inequities...and I also appreciate the need to keep pointing this pretty fundamental issue out....

What boggles my mind is the hubris and stunted self centeredness of folks being "unbothered" by it.

I mean: it would seem to me that any half way decent -human being- would...uh, simply not charge ahead (even towards a hoped for pile of money) if they know it's gonna replicate current inequities...

Yet here we are.