AI Art Copyright

This cluster debates whether training generative AI image models like DALL-E and Stable Diffusion on copyrighted artwork violates copyright law, and if AI outputs constitute derivative works, often comparing to human artists learning styles and ideas.

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Keywords

AFAIK MB AI TO JPEG SD ML OSS KB CSAM copyright image images ai copyrighted training model trained prompt artist

Sample Comments

klipt May 7, 2020 View on HN

Depends how creative the AI is. Human artists are trained on copyrighted images too.

yreg Aug 24, 2022 View on HN

Unlike Copilot, DALL-E et al. don't produce verbatim copies of trained data.Copying ideas and styles has always been a fundamental part of art history, so an artwork right holder might have a hard time successfuly sueing a user for the user's generated image looking similar to the right holder's artwork.

JamesBarney Sep 1, 2023 View on HN

A human is still entering the prompt to generate the possibly copyrighted image/text. I don't think copyright law should care about the implementation. It's ok to copy a style if you use paint brushes or photo shop. But not ok if you use a statistic model?

orbital-decay Oct 29, 2022 View on HN

It doesn't copy verbatim, neither does it copy parts. Sure, if you request "Sunflowers by Van Gogh" you will get something very close to Sunflowers by Van Gogh. That's because Van Gogh produced several similar works with sunflowers, because models are notoriously overfit on those, but more importantly because you asked for it specifically; you could have asked Google and get unlimited copies of Sunflowers that are much more precise. Good luck accidentally describing Su

hooverd Oct 25, 2023 View on HN

Then the Stable Diffusion model should hold the copyright. And using generative models doesn't make you any more of an artist that commissioning a human does.

Retric Aug 15, 2024 View on HN

The issue here is that the AI model itself is a derivative work.Further, they will very much recreate things the’ve seen many examples of. Recreating “Mona Lisa” isn’t a problem, but recreating “Iron Man” is. Individual artists may not know how to prompt the system to recreate their work, but looking at the training sets is going to help quite a bit.

Workaccount2 Aug 16, 2024 View on HN

It's only clear that training is a violation of copyright if you have a layman's understanding of how training works. There are no images stored in image models, just vectors that represent pixel relationships. You may call this fancy compression, but the ship runs aground if you try to "compress" a small set of images with a transformer - you just will get random noisy junk on the output.Artists have a much firmer legal ground to stand on if they go after model output, bu

jjcon Jan 31, 2023 View on HN

Is there any reason we shouldn’t view diffusion models as any other tool? I can infringe copyright with photoshop too… even accidentally. If I generate original work with either that seems like fair game.I imagine with the right prompt one could coax out a copywritten image even if it hadn’t ever seen it before

sunnybeetroot Nov 25, 2023 View on HN

If a model is trained on illegally obtained copyrighted material, are the images it produces stolen?

rose_ann_ Jan 23, 2023 View on HN

You might want to learn how the models work before making inflammatory comments.To simplify the entire concept: Imagine you were an alien. You decide to work as an artist on earth. So you go on this thing the Humans call 'the internet', view millions of images & works of art, then start creating images & art pieces of your own based on the underlying rules you've gleaned from those millions of images you've viewed, without in any way keeping or saving a single copy