AI and Data

Kai-Fu Lee discusses the importance of balancing quality and quantity of data when training AI systems. While some information may seem irrelevant, it can still have a correlation to the desired outcome. Removing too much data can result in a less powerful AI system, but it's also important to filter out negative sentiment and misrepresentation.