In acquisitions of artificial intelligence (“AI”) companies or AI businesses, the most familiar data-related risks involve training datasets sourced from the real world, such as information scraped from the internet, licensed from data owners, or generated by users. But a growing number of AI companies have built their technology on a different foundation: synthetic data, or datasets created or transformed by AI models or other methods, rather than used in their raw collected form….
By: Mayer Brown
By: Mayer Brown
