People often bring up the quip that "as soon as something is AI, people stop calling it AI" but I think pretty much the opposite has happened, the term has been expanded so much that almost any stochastic computation that solves some computational problem is now shoved under that umbrella. However unlike jordan in the article who takes that as an opportunity to focus even more on engineering and practical application…
That makes some sense because once we understand how things work they become repeatable and thus not-that-intelligent in the eye of many.
And that, again, makes sense considering we are nowhere near anything that has the 'I' in it: it's pattern matching which is statistics and it works on a massive scale due to tech/gpu and ago advances but there is no 'I' there. The most basic mistakes are not correctable by the most advanced stuff we have and as such, it gets things it is 'bred for' wrong all the time, with sometimes disastrous outcomes.
This stuff should be in labs, not identifying gun shots, faces of criminals, driving cars, identifying 'fraudulent' people and such. Because of the 'I' missing, this is a nightmare and it will get worse.