I feel there has to be a way of training neural networks to recognise the influence of their training data on the output.
This would probably include training a complementary indexing network + database that would then ”reverse-training” resolve and offer at some predetermined accuracy the #copyright-viable sources for each generated #aiart
I need some help though. A proof would show the companies know it can be done, but they just don’t want to.
As to my motivation, looking forward to people making MORE contributions to AI training instead of hiding their work away to protect it from being stolen.
I am not looking for copyright violations, but a new paradigm, where generative models feed back into the creative economy.
For this rewriting of the copyright laws will be necessary. I wrote lengthily about this for the Finnish Pirate party more than a year ago:
In other words: Getting paid a reasonable amount from the model providers would incentivise people to be part of the training data.
Getting also paid from using the models creatively incentivises their use, and this is where copyright reform is most needed.
Instead of remaining a grey area forever, as the industry would sure be happy about, we need legal category for the remix as legit piece of art, not bastardisation.