this post was submitted on 29 Aug 2023
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[–] Designate6361@lemmy.ml 9 points 1 year ago (1 children)

IIRC AI images are generated based on the data thats been fed and existing works to make them come out correctly. AI is just reinforcing in our own interpritation on what we as a collective see as "beautiful"

[–] Ilandar@aussie.zone 3 points 1 year ago (2 children)

It reinforces Western interpretations. The patterns used to train generative AI are still biased and unreliable in that sense.

[–] abhibeckert@beehaw.org 1 points 1 year ago* (last edited 1 year ago) (1 children)

It reinforces Western interpretations

No. It reinforces the interpretation of whoever trained the model. Those people don't have to be western.

[–] Ilandar@aussie.zone 2 points 1 year ago

It's not just about individual people, it's about where money and power is located. Where are the top universities located? In which sphere do the biggest, wealthiest and most powerful corporations and organisations operate? Western bias permeates every fabric of modern society because of how dominant Western culture has been throughout history in terms of money and power. It inevitably filters through to AI, because the data being used to train it is just a reflection of what is available. That happens to be data pulled from, or narrated by, Western culture.

[–] ResQ@feddit.de 1 points 1 year ago

You can train a model right now for free. It's all open source. You provide the data and get the output you want. AI picture generation is not magic, it has to draw it's info from SOMEWHERE.

This article is 200% nonsense.

[–] circuitfarmer@lemmy.sdf.org 3 points 1 year ago

All AI promotes whatever the hell you feed it.

[–] autotldr@lemmings.world 3 points 1 year ago

This is the best summary I could come up with:


"GenAI is a type of artificial intelligence powered by machine learning models," Shibani Antonette, a lecturer in data science and innovation at the University of Technology Sydney, told the ABC.

When looking at the viral AI images, Dr Antonette says the model that generated them likely "did not have a diverse training dataset that contained many faces of people of colour with varying skin tones and shapes".

"After all, data for these models are pulled from the entire internet over the last few decades — without accountability for coverage, diversity, and inclusion — to cater to specific applications."

She dyed her blonde and didn't worry about letting her brown skin get darker from being in the sun, admitting it was to make herself more appealing to the male gaze here.

A research study by Cornell University from March this year revealed how popular AI models produced images of men with lighter skin tones for high-paying jobs such as a "lawyer," "judge" or "CEO".

"Tech-developers and companies rolling out services should ensure that their AI is fair and equitable by diversifying their datasets and avoiding over-representation of certain groups of people," she says.


The original article contains 998 words, the summary contains 192 words. Saved 81%. I'm a bot and I'm open source!