I'm not familiar with the topic. How do you measure the quality of the synthetic data? That is, how close the synthetic samples are from the real ones. Moreover, can you control this quality while generating synthetic samples?
Sometimes I wonder if there are better solutions rather than bans. Banning sounds like sweeping the dirt under the rug. I am afraid haters might concentrate in underground social networks, away from the spotlights, creating a "us and them" situation.
Technologies: In December 2019, I completed all degree requirements for my Ph.D. in Artificial Intelligence (AI) with a focus on probabilistic graphical models such as Bayesian networks and deep learning models, including sum-product networks. Researcher experience as a freelancer and more than 25 academic publications (including one AAAI). Industry experience as a Software Engineer working with Angular/Ionic/Typescript/Serverless stack.