I get that when you boil it down to pattern matching it sounds less impressive, but we are starting to see superhuman pattern matching algorithms, and algorithms that display logic through advanced “pattern matching”. And it’s quite obvious now that pattern matching is far more useful than pure rule based systems for any problem of sufficient complexity.
And AI is a very broad field, including pattern matching (supervised ML or otherwise), logic/rule based systems, etc. Is your complaint that they use AI/ML interchangeably? Because in this case, while AI is a more term for the technology than ML, it is not a strictly incorrect title.
Is your complaint that they use AI/ML interchangeably?
Yes, that's all I'm saying. And it seems like such a known point that they're not the same and not interchangeable, or so I thought (that I'm kind of astonished at the downvotes at my original comment).
Because in this case, while AI is a more term for the technology than ML, it is not a strictly incorrect title.
I get what you're saying at the product level -- and the fact that the vast bulk of the public subjected to these technologies couldn't tell you the difference, nor could they begin to care.
But to practitioners, the basic facts remain: ML ≠ AI, it's a proper subset, and we're doing the public a genuine disservice (and arguably causing substantial harm) by pretending to tell them that we're making good progress developing AI as distinct from hypercharged ML, that any day now they'll have self driving cars ... and all that crap the industry has basically been telling people.
And AI is a very broad field, including pattern matching (supervised ML or otherwise), logic/rule based systems, etc. Is your complaint that they use AI/ML interchangeably? Because in this case, while AI is a more term for the technology than ML, it is not a strictly incorrect title.