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Some image generators produce more problematic stereotypes than others, but all fail at diversity (algorithmwatch.org)

submitted 11 months ago by JRepin@lemmy.ml to c/technology@lemmy.world

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cross-posted from: https://lemmy.ml/post/7481270

Automated image generators are often accused of spreading harmful stereotypes, but studies usually only look at MidJourney. Other tools make serious efforts to increase diversity in their output, but effective remedies remain elusive.

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[-] jungle@lemmy.world 7 points 11 months ago

Yes, but on the other hand biasing the models could be a way to influence reality.

[-] burliman@lemm.ee 2 points 11 months ago

Could be, maybe. Or maybe not. Not sure. But the thing for sure is that forcing the diversity reduces the quality of the model.

this post was submitted on 05 Nov 2023

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