this post was submitted on 17 Aug 2024
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[–] diamond_shield@reddthat.com 35 points 3 weeks ago (13 children)

I don't think it is relatively difficult to make "Ethical" AI.

Simply refer to the sources you used and make everything, from the data used, the models and the weights, of public domain.

It baffles me as to why they don't, wouldn't it just be much simpler?

[–] schizo@forum.uncomfortable.business 1 points 3 weeks ago (1 children)

Because there's not enough PD content there to train AI on.

Copyright law is generally (yes I know this varies country by country but) gives the creator immediate ownership without any further requirements, which means every doodle, shitpost and hot take online is property of it's owner UNLESS they chose to license it in a way that would allow use.

Nobody does, and thus the data the AI needs simply doesn't exist as PD content and that makes the only choices for someone training a model is either to steal everything, or don't do it.

You can see what choice has been universally made.

[–] tjsauce@lemmy.world 2 points 3 weeks ago

People were also a lot more open to their data being used by machine learning because it was used in universally appreciable tasks like image classification or image upscaling; tasks no human would want to do manually and which threatens nobody.

The difference today is not the data used, but the threat from the use-case. Or, more accurately, people don't mind their data being used if they know the outcome is of universal benefit.

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