It seems very difficult to ensure that a model will never output any of the copyrighted content that it was trained on. I can only think of three ways, but perhaps there are others
1. Evaluate every output from the model to ensure that none of the outputs are copyrighted
2. Evaluate every input to a model to ensure that the inputs are either not copyrighted or properly licensed
3. Change the definition of copyright so that ML models can do whatever they want
Nobody is doing #1, because that makes the business models not work. Established brands (like Adobe) are doing #2. I get the feeling that there are a lot of ML startups that are hoping that #3 will happen, but it seems unlikely
1. Evaluate every output from the model to ensure that none of the outputs are copyrighted
2. Evaluate every input to a model to ensure that the inputs are either not copyrighted or properly licensed
3. Change the definition of copyright so that ML models can do whatever they want
Nobody is doing #1, because that makes the business models not work. Established brands (like Adobe) are doing #2. I get the feeling that there are a lot of ML startups that are hoping that #3 will happen, but it seems unlikely