submitted 3 days ago by mrmaplebar@fedia.io to c/asklemmy@lemmy.world

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Does anyone know of any attempts out there of building more ethical AI models for things like text LLM, image or audio processing?

To clarify, I am talking about an AI model which is trained on a dataset of public domain, creative commons, licensed, or more intentionally fair use sampling methods.

Personally, I believe that the way the modern AI industry has built their giant models is incredibly exploitative, unethical, toxic to society and culture, and arguably not even consistent with the letter or spirit of the existing rules by which we have all been asked to play.

As a tool, machine learning may not be fundamentally bad, but who, if anyone, is out there trying to do it in better, more legitimate way?

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[-] Snowclone@lemmy.world 2 points 3 days ago

it's not even clear if the current approach can reach actual artifical intelligence from a machine learning approach. this is a randomized regurgitation machine, it hasn't met the markers of an actual AI, it's just that the profit motive demands it must be ready and it must be the right path because they need that money.

[-] OwOarchist@pawb.social 7 points 3 days ago* (last edited 3 days ago)

this is a randomized regurgitation machine, it hasn’t met the markers of an actual AI,

Eh ... yes and no. Depends what markers you're looking for.

But at the very least, it's pretty good at pretending to be actual AI sometimes. And a chatbot passing the Turing Test has gone from an occasional fluke under very specific conditions to being something so commonplace that you'll often deal with it in your everyday life.

[-] mrmaplebar@fedia.io 5 points 3 days ago

Fair. I guess I'm curious if any people who exist outside of the profit-driven investment hype "AI" bubble are trying to see what can be done with more legitimate sources of data.

It's possible that nobody is even trying it...

[-] mesamunefire@piefed.social 6 points 3 days ago* (last edited 3 days ago)

Hey so my research was on AI. Your specifically talking about LLMs which is a very very small subset of AI. There's a metric TON of public LLMs that are specialty made. The more recent one was a person who made a tiny one just for one off bash scripts based on his own massive 20+ years of dot files. Hugging face has some but others are just all over the internet. The training sets ate usually public sources. Creative commons or data specifically for that purpose.

Most AI work is happening at university and open source levels.

[-] mrmaplebar@fedia.io 3 points 3 days ago

I don't really mind if it's LLMs or other "AI" models for things like image or audio processing. My question is really about whether there are any noteworthy models that have been trained off an more ethical dataset than the big ones that have been trained on massive troves of scraped data.

The more recent one was a person who made a tiny one just for one off bash scripts based on his own massive 20+ years of dot files.

That's interesting.

The training sets ate usually public sources.

Does "public sources" mean public domain, or just like visible on the internet?

[-] mesamunefire@piefed.social 1 points 3 days ago* (last edited 3 days ago)

In research (as in papers) you have to use curated results or peer reviewed datasets. So its a grab bag. But some are ONLY available in acadamia. Its a strange world. The stuff AIs are doing are novel but there is many more nitch stuff for very specific reasons.

For example my research was on using a variant on the Probabilistic Latent Semantic Analysis for specific applications (cancers/medical applications). It was trained on datasets and proven to work. It was 90percent on other peoples work and was more a proof of concept. And there was work for the multi-model version at the time.

Datasets were all over, some public domain, some very specific medical data with permission.

this post was submitted on 29 Oct 2026

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