I would hazard a guess that like a human, AI would have a continuous learning cycle rather than simply train for a job and then never update its knowledge on that subject. Can you imagine if you simply stopped learning anything once you'd left school or that Doctors or Engineers never kept up with changes or recent developments in their fields of interest? 

 Kirsten McCormick are you able to add any thoughts to this discussion? 

Lisa

Hello Lisa:

There is a problem in continuous learning associated within your selective field of interest (it's like going deep down a rabbit hole) that is  "over specialization".

One has to be a "generalist" making sure that one is not blindsided by advances in related areas. Otherwise one becomes unemployable. 

I started work in vacuum (valves) tubes which died, but was able to made the move into solid state devices.

Second when developing models to explain a physical processes one has to consider what is happening is other non-related fields, such as biology. 

Peter Brooks

Palm Bay

Hello Lisa:

There is a problem in continuous learning associated within your selective field of interest (it's like going deep down a rabbit hole) that is  "over specialization".

One has to be a "generalist" making sure that one is not blindsided by advances in related areas. Otherwise one becomes unemployable. 

I started work in vacuum (valves) tubes which died, but was able to made the move into solid state devices.

Second when developing models to explain a physical processes one has to consider what is happening is other non-related fields, such as biology. 

Peter Brooks

Palm Bay