What counts as a causal problem?
We give patients a drug, and some of them die. In fact, those that get the drug die more often than those that do not. Is the drug killing them or helping them? This is a very real problem we are facing right now, and getting it wrong results in people dying.
Surely any prediction device that would be called "intelligent" by anyone less gung-ho than, say, Ray Kurzweil would enable you to ask it questions like "suppose I -- with my current genome -- chose to smoke; then what?" and "suppose I -- with my current genome -- chose not to smoke; then what?".
I certainly hope that anything actually intelligent will be able to answer counterfactual questions of the kind you posed here. However, the standard language of prediction employed in ML is not able to even pose such questions, let alone answer them.
I don't get it. You gave some people the drug and some people you didn't. It seems pretty straightforward to estimate how likely someone is to die if you give them medicine.
Yann LeCun, now of Facebook, was interviewed by The Register. It is interesting that his view of AI is apparently that of a prediction tool:
"In some ways you could say intelligence is all about prediction," he explained. "What you can identify in intelligence is it can predict what is going to happen in the world with more accuracy and more time horizon than others."
rather than of a world optimizer. This is not very surprising, given his background in handwriting and image recognition. This "AI as intelligence augmentation" view appears to be prevalent among the AI researchers in general.