If you feed completely new information into a system it's going to do something. Some times it's even the correct choice, but really people also do the same thing in novel situations. I have no problem calling judgement simply deciding what to do based on the current situation and as soon as you add any form of adaptation then computers can do that. But, I am also willing to concede your probably using a different definition.
PS: IMO, what separates people from machine learning systems is treating everything as training data, a much larger training set, a lot more processing power, and a tendency to explore novel situations. The trade off is efficiency and reaction times. Still, when you get into thrust vectoring, super sonic flight, high g turns, rapidly changing weight/drag/thrust at the same time trading consistency for improved handling of novel situations is probably worth it so I expect the air force uses systems that are fare more adaptable than the civilian world.
PS: IMO, what separates people from machine learning systems is treating everything as training data, a much larger training set, a lot more processing power, and a tendency to explore novel situations. The trade off is efficiency and reaction times. Still, when you get into thrust vectoring, super sonic flight, high g turns, rapidly changing weight/drag/thrust at the same time trading consistency for improved handling of novel situations is probably worth it so I expect the air force uses systems that are fare more adaptable than the civilian world.