In its submission to the Australian government’s review of the regulatory framework around AI, Google said that copyright law should be altered to allow for generative AI systems to scrape the internet.
In its submission to the Australian government’s review of the regulatory framework around AI, Google said that copyright law should be altered to allow for generative AI systems to scrape the internet.
A lot of licensing prevents or constrains creating derivative works and monetizing them. The question is for example if you train an AI on GPL code, does the output of the model constitute a derivative work?
If yes, Github Copilot is illegal as it produces code that should comply to multiple conflicting license requirements. If no, I can write some simple AI that is “trained” to regurgitate its output on a prompt, and run a leaked copy of Windows through it, then go around selling Binbows and MSFT can’t do anything about it.
The truth is mostly between the two, this is just piracy, which always has been a gray area because of the difficulty of prosecuting it, previously because the perpetrators were many and hard to find, now it’s because the perpetrators are billion dollar companies with expensive lawyer teams.
This question is completely independent of whether the code was generated by an AI or a human. You compare code A with code B, and if the judge and jury agree that code A is a derivative work of code B then you win the case. If the two bodies of work don’t have sufficient similarities then they aren’t derivative.
You’ve reinvented copy-and-paste, not an “AI.” AIs are deliberately designed to not copy-and-paste. What would be the point of one that did? Nobody wants that.
Filtering the code through something you call an AI isn’t going to have any impact on whether you get sued. If the resulting code looks like copyrighted code, then you’re in trouble. If it doesn’t look like copyrighted code then you’re fine.
AI is a marketing term, not a technical one. You can call anything “AI”, but it’s usually predictive models that get called that.
For example if the powers that be decided to say licenses don’t apply once you feed material through an “AI”, and failed to define AI, you could say you wrote this awesome OS using an AI that you trained exclusively using Microsoft proprietary code. Their licenses and copyright and stuff doesn’t apply to AI training data so you could sell that new code your AI just created.
It doesn’t even have to be 100% identical to Windows source code. What if it’s just 80%? 50%? 20%? 5%? Where is the bar where the author can claim “that’s my code!”?
Just to compare, the guys who set out to reimplement Win32 APIs for use in Linux (the thing that made it into MacOS as well now) deliberately would not accept help from anyone who ever saw any Microsoft source code for fear of being sued. The bar was that high when it was a small FOSS organization doing it. It was 0%, proven beyond a doubt.
Now that Microsoft is the author, it’s not a problem when Github Copilot spits out GPL code word for word, ironically together with its license.
I think this already happen. A very practical example, windows GUI has been copied by many Linus distros. And with windows 11 there’s clearly a reference to Apple MacOS GUI with a sparkling of Google material design.
Should apple and Google be able to sue Microsoft because it “copied” their work? Should Google be able to sue apple because they “copied” the notification drop-down in iOS?
As you say it’s really a grey area because the only reason we consider AI code to be “regurgitated” while human code to be “inspired” is only because we give humans more recognition of their intellectual abilities.
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Someone getting sued does not mean they are wrong or that they lost the case. Each case needs to look at the works in question and decide if that perceptual case violates copy write. Lots of things are taken into account here, and even is small elements might have been used or be similar does not automatically win the case.
There is also a difference between some implementation and the overall feature in question. For instance, APIs are not copy writeable, nor are cords in music, nor what something does overall. Only specific implementations are copy writeable.
The same can apply to AI - if it generates a work that if a human did it it would violate copy write then it does - if not then it does not. But AI shows a different problem. That of scale. There is only a limited amount of work that a human can do. But an AI can produce vastly more content - enough that a case by case evaluation of infringement might not be viable. And if that becomes the case then AI works might need to be treated differently from human created works - or maybe how the models are created and how they can use copy writed works. The current laws were never designed with the speed at which AI can work in mind.
You should read this.