Artificial Behaviour
This stuff is far more interesting than 'AI' - in inverted commas because, as the comments above say, 'AI' isn't simulating intelligence. Hannah Fry was right - current AI is stats. In the 80s some statisticians pointed out that back-error propagation in multilayer perceptrons (the de-rigeur AI of the time) was just an implementation of a statistical procedure called projection pursuit (super dooper regression).
Aiming for more realistic goals than intelligence, such as learning to behave efficiently in a complex environment (as the hand people were doing) is, to me, an intellectually much more interesting goal. Reinforcement learning with temporal discounting (pioneered by Rich Sutton and Andy Barto in the 80s, to much less fanfare than the back-prop business) certainly looks like the way to achieve success (and the way that we and animals likely do it) especially when combined with a system that learns to optimise the representation of the environment from which variables are entered into the learning system (I think I wrote something saying this in the 80s, after which I gave up biologically relevant neurocomputation stuff and did real human neuropsychology - working with patients instread).