this post was submitted on 06 Nov 2023
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[–] fosforus@sopuli.xyz 27 points 1 year ago (22 children)

Plenty of actual photographs exist with Palestinian children wielding rifles and Hamas headbands. Perhaps the AI is just trained with those images as well?

[–] GunnarRunnar@beehaw.org 20 points 1 year ago (16 children)

Why does it matter what the excuse is?

You shouldn't get a stereotype (or in this case I suppose propaganda?) when you give a neutral prompt.

[–] HappyMeatbag@beehaw.org 1 points 1 year ago (1 children)

To me, it should only “matter” for technical reasons - to help find the root of the problem and fix it at the source. If your roof is leaking, then fix the roof. Don’t become an expert on where to place the buckets.

You’re right, though. It doesn’t matter in terms of excusing or justifying anything. It shouldn’t have been allowed to happen in the first place.

[–] GunnarRunnar@beehaw.org 2 points 1 year ago (1 children)

I do agree that technical mistakes are interesting but with AI the answer seems to always be creator bias. Whether it's incomplete training sets or (one-sidedly) moderated results, it doesn't really matter. It pushes the narrative to certain direction, and people trust AIs to be impartial because they presume it's just a machine that interprets reality when it never is.

[–] jarfil@beehaw.org 2 points 1 year ago (1 children)

it's just a machine that interprets reality

...as seen by the machine.

It's amazing how easily people seem to forget that last part; they wouldn't trust a person to be perfectly impartial, but somehow they expect an AI to be.

[–] GunnarRunnar@beehaw.org 3 points 1 year ago

It's amazing how easily people seem to forget that machines uses tools its creator provides. You can't trust AI to be impartial because it never is as it is a collection of multiple choices made by people.

This is such a bore, having this same conversation over and over. Same thing happened with NFTs and whatever is currently at the height of its tech hype cycle. Don't buy into the hype and realize both AIs potential and shortcomings.

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