There is immense value in training these to synthesize test data sets for sensitive information you can't safely put in a preprod environment. Health informati

There is immense value in training these to synthesize test data sets for sensitive information you can't safely put in a preprod environment. Health information would be the main case I can think of now. Having synthesized data for testing new services in govt would be a huge improvement. De-identification is basically impossible and there are a bunch of companies who will lie to you if you pay them to, but synthesized data covers many use cases for de-identification and for homomorphic encryption.