[ethbr1]

> Until we solve the interpretability problem (e.g. can you decode the feature space of a neural network into something we can comprehend) there is no good solution.

This is the rub. Without reverse attribution... open source anonymous models become a free-for-all loophole.

Since that doesn't currently exist, I think the best we can do is to say that any commercial entity using a model bears the responsibility of proving the model they use is untainted by copyrighted material (to which they haven't secured rights).

Open source model X is... whatever it is.

But I'll be damned if OpenAI / Meta / Microsoft / IBM should be able to build a commercial product on top of laundered copyrighted material while ignoring provenance.

I mean, we have models for this: software code and art. Both aren't clearly attributable. In the case of software code, we've developed case law around clean room design and similarity. In the case of art, we value verifiable chain of custody.

Hopefully, something similar would tilt commercial funding of AI in the direction of responsible use.