Machine Learning is just a tool belt. AI is the idea of intelligent machines being able to solve problems (and recognizing them) on their own. Therefore of course AI can utilize the tool belt that is Machine Learning.
From the perspective of a language descriptivist instead of prescriptivist, that strict definition of AI is already long gone. That ship has sailed.
Even wikipedia says that colloquial uses of "artificial intelligence" stands for machine learning that mimics intelligence. It's understandable that The NYT and all mainstream non-compsci publications will use "artificial intelligence" that way. One of the researchers (Stephen Weng) cited in the article also uses the term "artificial intelligence" in his LinkedIn page and in the PDF research article itself.
If and when "solving/recognizing on its own" truly becomes reality, I suspect the world will adapt and call it "True-AI" or "Lifelike-AI" or "Strong-AI". We'll find another term to distinguish it from the watered down "artificial intelligence".
I disagree. Machine Learning is just super-charged linear regression.
If you build a ML system that autonomously chooses it factors, and automatically adjusts to model drift (by either adjusting existing coefficients (easy) or adding/removing factors (hard), then ML drifts into AI.
Machine learning is neural nets, which started out as an approach to AI and which yes boil down to linear regression, but that's about as useful as saying brains are just super super charged linear regression. And that's the point, AI is a label that keeps getting cast off of things that started out as AI but once understood people decided they no longer were, you are committing the no true Scotsman fallacy. If it started off as AI, it's AI, that doesn't change because you understand the math underneath that it boils down to.
What's really going on is you are branding "human intelligence" special because we don't understand its implementation and labeling everything else not intelligent because we do, for all we know the human mind itself could be nothing more than statistical smoke and mirrors. The only problem here is human ego.
A car that can drive me somewhere on its own simply by being given a destination, is AI, not matter how it's implemented as long as it's the computer doing the driving and is operating locally by actually having sensors that see the road. It doesn't have to be able to ponder its own existence to be AI.
Neural nets were an attempt to model how the brain works; they are by definition AI regardless of whether they boil down to some maths. Everything a computer does boils down eventually to some maths, that is not an escape hatch to claim something isn't AI.
Machine learning is AI. It is not AGI, but it most certainly is AI.
The coffee criterion for AGI (https://en.wikipedia.org/wiki/Artificial_general_intelligenc...) is much better, since it requires ability to creatively interact with unpredictable reality as a test for intelligence. It avoids all the philosophical bullshit and all the smoke and mirrors, since you cannot fool physics. Somehow the so called "AI researchers" avoid robotics like fire, sine there stuff actually needs to work (not just statistically) and outrageous BS claims cannot be made.
And yes, ultimately the human brain may be smoke and mirrors. But frankly, quite sophisticated smoke and mirrors, not anywhere close to the crap that is being put forward right now.
Useful and relevant world changing AI will happen long before AGI which could very well be a pipe dream. A car that drives far better than humans is useful AI and yet would fall short of AGI, a robot that can clean my house is useful AI but could fall way short of AGI, there are vast world changing things to be done by AI long before AGI ever becomes a reality and that we understand how something works DOES NOT disqualify it from being AI, even if it boils down to little more than some statistical inference.
Saying it isn't AI because you understand how it works is like saying submarines can't swim; it doesn't have to work like nature to be valid nor does it have to be like human intelligence to be intelligent and any intelligence we build is by definition artificial intelligence. Machine learning that can diagnose better than a doctor... is AI, not matter how well you understand it's just math, it's still AI. Those who conflate AI with consciousness are the ones in err. AI does not and has not ever meant artificial self aware consciousness, while such a thing would be AI, it would be the pinnacle of AI, AGI.
https://en.wikipedia.org/wiki/Artificial_general_intelligenc...