I will say that when my company uses AI, they almost always just mean LSTM-based content generators - usually chatbots or "advisory"-style outputs - but the key idea is that it's generative and not just an evaluator.
I think that's probably the most helpful definition because your ML output has to go into some larger intelligence system (human or otherwise) to produce some decision / activity. So your choices are:
* Human
* Expert system with rules of interpretation that include ML output as input
* AI system which relies solely on inference and reinforcement / goal-seeking to produce output
