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1. young_+(OP)[view] [source] 2022-05-23 22:03:22
The very act of mentioning "western gender stereotypes" starts from a biased position.

Why couldn't they be "northern gender stereotypes"? Is the world best explained as a division of west/east instead of north/south? The northern hemisphere has much more population than the south, and almost all rich countries are in the northern hemisphere. And precisely it's these rich countries pushing the concept of gender stereotypes. In poor countries, nobody cares about these "gender stereotypes".

Actually, the lines dividing the earth into north and south, east and west hemispheres are arbitrary, so maybe they shouldn't mention the word "western" to avoid the propagation of stereotypes about earth regions.

Or why couldn't they be western age stereotypes? Why are there no kids or very old people depicted as nurses?

Why couldn't they be western body shape stereotypes? Why are there so few obese people in the images? Why are there no obese people depicted as athletes?

Are all of these really stereotypes or just natural consequences of natural differences?

replies(1): >>joshcr+k2
2. joshcr+k2[view] [source] 2022-05-23 22:15:56
>>young_+(OP)
The bulk of the trained data is from western technology, images, books, television, movies, photography, media. That's where the very real and recognized biases come from. They're the result of a gap in data nothing more.

Look at how DALL-E 2 produces little bears rather than bear sized bears. Because its data doesn't have a lot of context for how large bears are. So you wind up having to say "very large bear" to DALL-E 2.

Are DALL-E 2 bears just a "natural consequence of natural differences"? Or is the model not reflective of reality?

replies(1): >>Shaani+g9
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3. Shaani+g9[view] [source] [discussion] 2022-05-23 23:04:59
>>joshcr+k2
That's true for some things, but the "gender bias for some professions" is likely to just be reflecting reality.
replies(1): >>joshcr+Ik
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4. joshcr+Ik[view] [source] [discussion] 2022-05-24 00:38:15
>>Shaani+g9
Don't really know that, either. They said they didn't do an empirical analysis on it. For example, it may show a few male nurses for hundreds of prompts or it may show none for thousands. They don't give examples. Hopefully they release a paper showing the biases because that would be an interesting discussion.
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