Because future AI may produce emergent phenomena, and because these are probably gaps in our current understanding of this, it feels like complex systems may be an increasingly important research field.
Unless there is some kind of commonality of emergent behaviour (or aspects of complex systems more generally) it seems that future AI systems may behave in ways very difficult to predict. Potentially complex system research of the brain could help in artificial neural network understanding but because of the diversity of the latter this may be a loose similarity. Further, this may or may not hold for other types of AI.
The main question is from a basic educational level, how does complex systems research affect AI and vice vera. Possible subquestions (whatever helps understanding of this topic better): Is there much research at the intersection of AI and complex systems (so someone like Melanie Mitchell)? What kinds of things may complex systems research inform AI? Is AI now helping us understand AI better?