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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>
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@@ -331,8 +331,13 @@ ChatGPT, Anthropic's Claude, and Meta's Code Llama, and code/content
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generation agents which are built on top of such tools.
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This policy may evolve as AI tools mature and the legal situation is
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clarifed. In the meanwhile, requests for exceptions to this policy will be
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evaluated by the QEMU project on a case by case basis. To be granted an
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exception, a contributor will need to demonstrate clarity of the license and
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copyright status for the tool's output in relation to its training model and
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code, to the satisfaction of the project maintainers.
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clarified.
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Exceptions
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^^^^^^^^^^
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The QEMU project welcomes discussion on any exceptions to this policy,
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or more general revisions. This can be done by contacting the qemu-devel
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mailing list with details of a proposed tool, model, usage scenario, etc.
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that is beneficial to QEMU, while still mitigating issues around compliance
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with the DCO. After discussion, any exception will be listed below.
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