Artificial intelligence (AI) projects are hitting the limits of available data. Thus, there is a push for synthetic data.
Synthetic data are generated by machines. They are cheaper and less prone to legal requirements, including privacy protection.
But synthetic data raises a new set of issues: how to make sure that they relate to ‘normality’; how to avoid biases that synthetic, like real data, generates.
Source: Spectrum