AI cannot be patent 'inventor', UK Supreme Court rules in landmark case
reuters.com
reuters.com
Also worth noting that that case involved the same plaintiff as this one, Dr Stephen Thaler, who has been on a mission to have a court recognise his AI system, DABUS, as capable of inventing patents.
Publicity. And as you see he is getting it.
Move this to the "Autonomous vehicle" line of thought. IF we accept the risks of a vehicle without a driver, how do we accomodate the _culpability_ of that risk?
Same thing in patent law. Someone needs to hold that "culpability". Maybe there'll be a robust future systems of laws that assigns the correct weightings, but it's not today.
One fundamental problem with such approach would of course be money. The AI would need to have a means of paying the fees and the USPTO declaration (37 CFR 1.63) may also prove difficult for an AI - "wilfulness" w.r.t. to false statements comes to mind. But that's a whole new can of worms I don't want to open.
You can tell them to generate ideas, pick one and go from there.
[0] except for all the racism and sexism and slavey and arguments about animal rights and if unborn foetuses are people etc.
TFA links to an article about him being rejected in the US, https://www.reuters.com/legal/us-supreme-court-rejects-compu... . The interesting/surprising part for me is that Lawrence Lessig and some other academics wrote briefs supporting his claim.
https://www.supremecourt.gov/DocketPDF/22/22-919/263320/2023...
Seems to be overly focused on the business impacts rather than the potential welfare improvements, but I can sort of see their point if I squint.
What, in the end, seems quite useful for people in general!
Anyone who's worked on spam prevention knows that as long as the profit is higher than the cost of impersonating a human, spammers will continue to hammer you until you can make the costs high enough to be no longer profitable.
In the UK a patent is invalid if you put an inventor on it who didn't make a significant and definable contribution to the invention.
If a patent is AI generated, and then labelled with a human inventor it may be argued that it is invalidated by the humans lack of inventive input.
a) prove that a human didn't contribute meaningfully, an act of transcription obfuscates the origin here.
b) Devote enough manpower to doing this for every patent?
If the contribution is opt-in then it's marginally better, but I can see that the lion's share of patents would go to whoever has the biggest LLM, thus pushing the wealth gap larger.
Patents are about novelty and effort (we want to reward the inventor), who's to say that these inventions would be novel, when anyone with a large LLM can find them?
There have been some exceptions, such as Leona Helmsley bequeathing part of her estate to her dog, but just as with infants or mentally unfit humans who may possess rights of ownership but not understand them well enough to make appropriate decisions regarding disposition, that money was put into a trust.
Putting aside the philosophical and legal theory questions regarding what kind of entities can or should have rights and the ability to own property, there are more practical questions that would need to be answered. If you really wanted to assign a patent to an automated system that generated an idea, how would you do it? What is the boundary of this system separating it from its environment? We have a fairly clear answer to this when the system in question is a biological organism. But a software system? Is it the process ID of the first process spawned from the executable file you used to instantiate the system before querying it? Presumably that was killed at some point well before you ever filed the application. The server or servers it ran on? Those also may be ephemeral. Some content-addressing tagging system identifying a released version of the software? Well then the specific instances you ran to generate the idea shares ownership with a bunch of other instances that didn't do jack. The source code? Now it's shared with even more potential instances that don't exist yet and may never exist.
Do you snapshot the entire state machine consisting of register and memory contents across all hardware servers as they happened to exist at the moment of creation? Then what? As long as it is possible to physically realize this system by restoring the snapshot to currently powered on hardware with a sufficient similar processor architecture and operating system the system lives forever? But if that operating system or architecture disappears then it dies and the rights expire? Does the snapshot itself retain some kind of legal rights even if it is never physically realized and only exists as a file? Seemingly no, as even a potentially intelligent system that is in a state of hibernation has no interests and can't make decisions.
So now we have a further question. Even if we can somehow define an acceptable boundary of what even constitutes the entity that has rights, we have to define at what point it is still considered to be alive. It's not clear for even a single process on a single server that is getting pre-empted and potentially paged out anywhere from a few times a day to billions of times per second, but much less clear for a distributed system that relies upon replaying log-structured files shared across an unreliable network. Humans get death certificates when a physician determines the heart has been stopped long enough that it is unlikely to ever come back. But for a distributed system that relies on log consistency, it can always potentially come back as long as some combo of hardware and software exists that can interpret the state transition commands to restore its state and someone with the power to plug servers together, turn them on, and hit enter makes the decision to do it. The lifetime of such a system is arbitrary.
If I ask GPT5 to "write a patent application for a method to optimize a program that does X, which is not currently patented", and it produces something that would be accepted as patentable, without that patentable idea being in its training data... that should not be patentable.
If I ask GPT5 to "write a patent application for this specific method of optimizing a program that does X, described as follows: [...]" that's completely irrelevant because the LLM clearly isn't inventing anything, whether or not the idea is in the training data already.
Being able to get an LLM to puke any idea back at you was not the point. If the idea is so obvious that an LLM can infer it from training data not including that specific idea, then it's not very novel.
If by some good fortune LLMs start to spit out truly novel ideas, I will be blown away most of all, but those ideas probably shouldn't be patentable either, based on the principles behind the patent system. Granting temporary monopolies to people based on the output of true machine intelligence only on a 1st come 1st serve basis would hurt the whole world. Being first in line to ask isn't virtue.
But it incentives to ask and also to share the good answers with everyone.
I like it, but (fortunately for my continued economic relevance), it's not quite there yet.
Sometimes, but rarely, recognising the problem _is_ the invention; but outside of that I'd say the person in this process hasn't invented something and whatever development the computer generated should thus be unpatentable.
They'll at least get first-to-market benefits.
You can file a patent based on idea that you had that came from discussions with other people. For example, somebody came up with a wheeled cart, somebody came up with an engine and you have an idea to just combine those two ideas by putting an engine on a car. It is patentable even if the material is not 100% your own.
What is patentable is a novel idea. You need to bring something new to the table, and that AI definitely can do. The fact the knowledge it uses comes from training material has nothing to do with it. Almost everything factual you know comes from other people anyway.
e.g in "somebody came up with a wheeled cart, somebody came up with an engine" your patent would not cover either sub idea (contextually, the thing the "AI" came up with), so all something needs to do is say given the non-patentable idea you got from a machine your patent covers an obvious application then your patent is invalid. A whole bunch of laws passed over the last decade to try to limit the validity of "X but on a Y" (where Y is in the theme of computer, internet, etc) style BS patents.
The whole point is the machine is mechanically converting a pile of data into a "invention", and it does not matter where the data comes from.
When the machine does that, you personally did not, and when you claim in a patent application that you invented a thing, you're saying that you did the thinking or reasoning or whatever. Otherwise your teachers could wait for you to come up with an patentable idea and patent it claiming that it was their invention.
Either the AI is conscious and alive, etc, etc in which case you're the teacher in the argument (and can't claim to be an inventor but rather a slave owner) or it's a mechanical device operating over data and producing a functionally deterministic result (the randomness in "AI" is artificially added solely to produce the appearance of non-deterministic output) in which case there's no invention: anyone could put the same data in and get the same thing out so on.
How is that not perjury?
I'm not making a statement on "should a machine generated idea" be patentable (my sense is no, but pharmaceutical corporations have plenty of patents on things that they found bacteria produced, so ???).
My statement is: when you file a patent, you sign a sworn statement (federal in the US, presumably similar conceptually in other jurisdictions) that all your statements are true and accurate.
If a machine came up with the patent, and you know that is not patentable under law, so you claim that _you_ came up with it, then that is an objectively false statement. You then signed and submitted to your relevant government body as a sworn statement.
Again this is an objectively false statement, that you provide sworn testimony is true.
That's definitionally perjury.
Other people have made comments about combining ideas from others, but when you do that you have to state that those ideas come from another source that is not covered by the patent, unless those other entities are co-authors of the patent.
e.g. if an "AI" comes up with an idea, and you combine it in a "novel" way with something else, the "AI" generated part is still not patentable, and cannot be covered by the patent.
> But he added: "The judgment does not preclude a person using an AI to devise an invention – in such a scenario, it would be possible to apply for a patent provided that person is identified as the inventor."
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> The patent office says "if an AI comes up with it's not patentable"
Where are you getting this from?
I see some dark path in patent world, corporations are amoral by principle so they will try to milk this even if just to defend themselves from everybody else doing it.
LLMs as an interface subcomponent of a larger system are surely already being prototyped, and it's a matter of time before agency emerges. In any case, most of our systems, and definitely how we manage intellectual property, are basically obsolete and require wholesale revisitation, so this is our institutions still protecting status quo until forced.
I completely agree, but don't underestimate the power of the ones who own most of it to lobby in their favour for the decades to come.
That combined to a trend towards relocation of supply chains, more expensive energy, resources etc. makes me think that we will see the value of physical capital increase in proportion.
Also, I think it seems clear that LLMs and other generative models are poised to strengthen the moat of status quo beneficiaries. I'm not sure if this decision weakens that impact, but generative models are not the tools of the "little guys".
using LLMs as tools already covers this.
But to your wider point, now that google have licensed most things, or have arranged some sort of deal with large IP creators, the whole "boo hiss copyright" movement has died down. This means that unless its in the interest of google, or some other exceptionally rich corp to water down IP laws, nothing much will change.
I suspect that the only thing will change is how data is licensed for LLM creation.
I can't tell the goal, but is likely about clarifying the legal framework or even influence it by creating precedents in these clear scenarios.
" If the statistical database prepared by the team can not be rewarded the patent, can the team that configured the data that fed the vectorization of such database therefore also not be guilty of infringement ? "
There is no Johnny5, HAL, Skynet, etc. It is not expected that it will be seen in the coming decades, probably not even in this century at the very least.
Later of which would mean that AI would have some type of personhood like companies have... And currently courts consider that it should not as of now.
Patents serve to inform the lawyers more than the inventors, at least in the US in modern day and I suspect elsewhere too.
I imagine that’s what will happen from now on
I'm not very excited for heaps of AI code to get released. I basically consider that already happened.
Until an AI can do these things on their own the author will continue to be the human driving them.
Secondly, most code is typically protected by copyright, not patents. And copyright is actually not awardable for automatically generated code, except if the code is a derivative of an otherwise copyright able work. So compiled machine code is protected even though it was generated by a computer program, because it is a derivative of the human-written source code.
However, if you write a program which generates all C programs of 10 lines or shorter, you would not be able to claim copyright for those programs (though someone else who manually wrote one of them would still be able to have copyright over their version - provenance is important in copyright law).
Now, I don't think this has been tested in court yet, but it's very likely that code produced by ChatGPT or Copilot would be considered a derivative of the prompt provided, and thus would be protected by copyright just as much as a compiled binary.
That would be very surprising to me; given that we have already few rulings that images produced by AI are not copyrightable.
Is the argument here that code is more "substantial" as an input than just a "make me a pretty image" prompt, and therefore would qualify for different rules?
AI generated images on pitch decks, AI organized slides on said deck, investment achieved
AI generated songs on flashy websites, AI assisted code bases, revenue just fine
the philosophy is entertain the humans!