docs/code-provenance: make the exception process more prominent

QEMU's AI generated content policy does not flesh out the exception
process yet.  Do it, while at the same time keeping things informal: ask
contributors to explain what they would like to use AI for, and let them
reach a consensus with the project on why it is credible to claim DCO
compliance in that specific scenario.

In other words, exceptions do not "solve the AI copyright problem".  They
take a position that a reasonable contributor could have, and assert that
we're comfortable with the argument.

Suggested-by: Daniel P. Berrangé <berrange@redhat.com>
Signed-off-by: Paolo Bonzini <pbonzini@redhat.com>
This commit is contained in:
Paolo Bonzini
2025-09-24 09:26:23 +02:00
parent 1f64df2547
commit 9ceb9b42c8
+10 -5
View File
@@ -331,8 +331,13 @@ ChatGPT, Anthropic's Claude, and Meta's Code Llama, and code/content
generation agents which are built on top of such tools.
This policy may evolve as AI tools mature and the legal situation is
clarifed. In the meanwhile, requests for exceptions to this policy will be
evaluated by the QEMU project on a case by case basis. To be granted an
exception, a contributor will need to demonstrate clarity of the license and
copyright status for the tool's output in relation to its training model and
code, to the satisfaction of the project maintainers.
clarified.
Exceptions
^^^^^^^^^^
The QEMU project welcomes discussion on any exceptions to this policy,
or more general revisions. This can be done by contacting the qemu-devel
mailing list with details of a proposed tool, model, usage scenario, etc.
that is beneficial to QEMU, while still mitigating issues around compliance
with the DCO. After discussion, any exception will be listed below.