Most argue training with copyrighted data is fair use.

AI companies have all kinds of arguments against paying for copyrighted content::The companies building generative AI tools like ChatGPT say updated copyright laws could interfere with their ability to train capable AI models. Here are comments from OpenAI, StabilityAI, Meta, Google, Microsoft and more.

  • abhibeckert@lemmy.worldEnglish
    42·
    1 year ago

    Who said anything about “do whatever they want”? They should obviously comply with the law.

    When a human reads a comment here on Lemmy and learns something they didn’t know before - copyright law doesn’t stop them from using that knowledge. The same rule should apply to AI.

    In my opinion if you don’t want AI to learn from your work, then you shouldn’t allow humans to learn from it either. That’s fine - everyone has the right to keep their work private if they choose to do so… but if you make it publicly available, then you don’t get to control who learns from it.

    You can control who makes exact replicas of it, and if AI is doing that then sure - charge the company with copyright infringement - but generally that’s not how these systems work. They generally don’t produce exact copies except for highly structured content where there isn’t much creative flexibility (and those tend to not be protected under copyright by the way - they would be protected by patents).

    • theluddite@lemmy.mlEnglish
      32·
      1 year ago

      Computers aren’t people. AI “learning” is a metaphorical usage of that word. Human learning is a complex mystery we’ve barely begun to understand, whereas we know exactly what these computer systems are doing; though we use the word “learning” for both, it is a fundamentally different process. Conflating the two is fine for normal conversation, but for technical questions like this, it’s silly.

      It’s perfectly consistent to decide that computers “learning” breaks the rules but human learning doesn’t, because they’re different things. Computer “learning” is a a new thing, and it’s a lot more like creating replicas than human learning is. I think we should treat it as such.