I think many are not actually against usage of these kinds of ML models in general, but against what is done using them right now: Code laundering, violation of

I think many are not actually against usage of these kinds of ML models in general, but against what is done using them right now: Code laundering, violation of licenses, intransparency, training on personal data, no responsible person to talk to, no way of having data removed, that one does not want in the model or the model to train from, and more. Any of these can lead to dystopia. When we use computer vision to identify benign or malignant tumors, we might cost someone a job, but at least what that model was trained on can be known and we are not leaking personal data in the model and probably there is no violation of licenses or similar to the data that was used to train the model. The model is very limited in output. The consequences are kind of simple to monitor or predict, because the model can only be used in its specialized area of use. With the new crop of ML models the situation is different. Lawmakers were asleep while these things became popular and there is no knowing, how it will all pan out, because the output is of a more general nature, that can touch any subject, any area of expertise. No one knows what they have been trained on and whether there is anything in that training data, that should not have been used, and there is no simple way (that I know of) to operate out any such data after training the model.