like other commenters, I fail to see the AI here. How are matching algorithms absent any machine learning considered to be AI? I thought AI was all about solving probabilistic problems where deterministic ones didn't exist?
Like I say in another comment, most of AI is not about machine learning, but rather about reasoning in complex domains, very often using hand-crafted procedures.
For example, most of the AI systems of the '80s and '90s, which were in fact hailed as great successes of AI, were of the expert system variety: in short, a large, hand-crafted database of production rules elicited from domain experts, coupled with an inference procedure.
For instance, an early expert system was MYCIN, used to diagnose bacterial infections. It was one of the earliest AI systems to perform at least as good, and even better than, experts:
[1] http://www.cs.cmu.edu/~arielpro/15896s16/slides/896s16-14.pd...
[2] https://www.cs.cmu.edu/~sandholm/futurematch.aaai15%20with%2...
“This series explores the promise of AI to personalize, democratize, and advance medicine—and the dangers of letting machines make decisions.” You have to work with what you have, I guess.