If you want to talk about ML, using the term "AI" instead is so vague that it is misleading.
Machine learning is basically a series of tasks (clustering, classification, reinforcement learning, etc) unified only by the fact that they are types of statistical inference.
In contrast, artificial intelligence encompasses much larger swath of problems -- robotics, natural language processing, computer vision, combinatorial search, and so on.
So while AI uses ML techniques heavily, it is wrong to say that it is given or even likely that AI entails ML. Sometimes it does, sometimes it doesn't.
We should pick exactly one thing we want to do well, and then go do it well.
"when a proposal is closed or a site is closed down, users are always welcome to try again"
. Note that I didn't create this proposal, I'm just thinking ML is probably about 80%+ of AI (I may be way off), so I'm proposing we extend it. Even if my % is way off, I still definitely don't see how you can say ML might have a purpose, but AI won't work. The way I see it, at worst, AI can have all the questions ML could've had, there's no loss of scope."No experts exist"
seems like the least likely reason of those to me (with the exception of"Bad timing"
).