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Peter Anvin" , Mike Rapoport , Laurent Pinchart , Christian Brauner , Dave Hansen , Vlastimil Babka , linux-kernel@vger.kernel.org, "workflows@vger.kernel.org" , "ksummit@lists.linux.dev" , Dan Williams , Theodore Ts'o , Sasha Levin , Jonathan Corbet , Kees Cook , Greg Kroah-Hartman , Miguel Ojeda , Shuah Khan Date: Mon, 10 Nov 2025 16:21:30 -0500 In-Reply-To: <20251110145405.5bc87cc5@gandalf.local.home> References: <20251105231514.3167738-1-dave.hansen@linux.intel.com> <653b4187-ec4f-4f5d-ae76-d37f46070cb4@suse.cz> <20251110-weiht-etablieren-39e7b63ef76d@brauner> <20251110172507.GA21641@pendragon.ideasonboard.com> <20251110145405.5bc87cc5@gandalf.local.home> Autocrypt: addr=James.Bottomley@HansenPartnership.com; prefer-encrypt=mutual; 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 8mT2Eh9SkH+YVOmaKsajgZgrBxA7fWmGoxXswEVxJIFj3vW7yNc0C5HaUdYa5iGOMs4kg2ht4s7yy7NRQuh7BifWjo6BQ6k4S1H+6axZucxhSV1L6zN9d+lr3Xo/vy1unzA== Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable User-Agent: Evolution 3.50.3 Precedence: bulk X-Mailing-List: workflows@vger.kernel.org List-Id: List-Subscribe: List-Unsubscribe: MIME-Version: 1.0 On Mon, 2025-11-10 at 14:54 -0500, Steven Rostedt wrote: > On Mon, 10 Nov 2025 11:36:00 -0800 > Linus Torvalds wrote: >=20 > > What's the copyright difference between artificial intelligence and > > good oldfashioned wetware that isn't documented by "I used this > > tool and these sources". >=20 > Probably no difference. I would guess the real liability is for those > that use AI to submit patches. With the usual disclaimers of IANAL, > I'm assuming that when you place your "Signed-off-by", you are > stating that you have the right to submit this code. If it comes down > that you did not have the right to submit the code, the original > submitter is liable. Liable for what? Signed-off-by is a representation by you that you followed the DCO, nothing more: https://developercertificate.org/ Liability arises when someone reasonably relies on that representation for some purpose and remember most licences actually disclaim fitness for a particular purpose in all situations (the no warranty clause), so we have loads of protection from general "liability" fears. > I guess the question also is, is the maintainer that took that patch > and added their SoB also liable? See above for liability. If you mean what representations does a Maintainer give with a signoff, that's usually section (c): (c) The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it > If it is discovered that the AI tool was using source code that it > wasn't supposed to be using, and then injected code that was pretty > much verbatim to the original source, where it would be a copyright > infringement, would the submitter of the patch be responsible? Would > the maintainer? >=20 > I guess this would be no different if the submitter saw some code > from a proprietary project and cut and pasted it without > understanding they were not allowed to, and submitted that. Right, the situation is analagous. However, remember today there's no legal case law that says a model's output is a derivative work of its training (although there are still several cases ongoing). > If the lawyers come back and say the onus is on the submitter and not > the maintainer that the code being submitted is legal to be submitted > under copyright law, then I'm perfectly fine in accepting any AI code > (as long as the submitter can prove they understand that code and the > code is clean). Again, what do you mean by Liable? The representations in the DCO are fairly clear and as long as you have a good faith basis for following their requirements the chances are that even if things like CRA pierce the licence no-warranty clauses you wouldn't end up on the hook for a copyright violation committed by a downstream author. Remember also that a big design of the signoff is that if someone does do something wrong, their contributions can be quickly identified and excised (which is probably why AI contributions should be tagged with which AI they came from). If you want more assurance, let's take the example of the 10 lines of code SCO eventually decided had been cut and pasted from Unixware by a SGI engineer. Their goal was to go after the shipper of the code with the biggest pockets (IBM) they never made a case against the individual engineer (probably mostly because the GPL no-warranty would make it very hard to make the case and in minor part because the recovery would be minimal) > But until the lawyers state that explicitly, I can see why > maintainers can be nervous about accepting AI generated code. Perhaps > this transparency can make matters worse. As it can be argued that > the maintainer knew it was a questionable AI that generated the code? > (Like it would be if a maintainer knew the code being submitted was > copied from a proprietary project). There is so far no court case that AI output infringes copyright (there are cases that have decided that AI training breached copyright control, but none that that makes the output a derivative work of that training), so that currently means that everyone can accept in good faith that AI generated code is not infringing. Even if the copyright lobby eventually wins a case on the derivative nature of the output, that won't change your historical good faith basis for accepting code, although it may mean the project needs to undertake an effort to excise it. As far as the copyright status of AI output in the US goes, as long as its not derivative of something, then it's a non-human creation and as such cannot be copyrighted at all, so it's equivalent to public domain. Regards, James