How synthetic data could save AI

AI is facing several critical challenges. Not only does it need huge amounts of data to deliver accurate results, but it also needs to be able to ensure that data isn't biased, and it needs to comply with increasingly restrictive data privacy regulations. We have seen several solutions proposed over the last couple of years to address these challenges -- including various tools designed to identify and reduce bias, tools that anonymize user data, and programs to ensure that data is only collected with user consent. But each of these solutions is facing challenges of its own. Now we're seeing a new industry emerge that promises to be a saving grace: synthetic data.