Hand-tuning a robot's data set cannot reach very high reliability, because people get tired; the system has to seek out its own missing data.

Assistant professor of computer science at Stanford and…

Um, and while this generally improves the reliability of the model, uh, people eventually get tired and it's hard to get really, really high reliability with a person that's manually tuning this. And so what would be even better is if the AI system itself can iterate on the scenario in which you want it to have higher reliability where it on its own automatically seeks out places where it needs more data, where it needs more supervision.