That is a pretty scary side effect and why AI in medicine needs to be handled carefully, especially anything with generative capability.

I do think, however, the primary application of these newer generation of generative models will be useful for more sophisticated data augmentation. For example, a lung nodule detection AI trained on a combination of synthetic and real lung nodules may perform better than one trained on real data alone. Do you think there are any other responsible applications?