AI isn't really "learning." And once trained, the learning stops.

"Many misconceptions around AI stem from using words that have a certain meaning when applied to humans, such as learning. We know how humans learn, because we do it all the time. We have experiences; we do something that fails; we encounter something new; we read something surprising; and thus we remember, we update or change the way we do things...That's not how AI systems learn."

For those that have long thought that AI can learn based on the information it was given, this is a more refined take on that approach. AI systems are based on large sets of information and often not updated. Riemer and Peter provide a really helpful explanation in understanding both their usage and concerns around their usage.