I have close knowledge of one project in which a codebase performs an action using an initial human-supplied table of data, then records the result as either a positive or negative outcome and adds that result back into the table. Then it performs another action based on the table data, records the result as a positive or negative, and adds that back into the table. Over time, of course, the table entries with the highest positive rate rise to the top and influence the actions that are chosen. It's CS101 stuff on a fairly mundane dataset.
But the codebase is hosted on Amazon and it's a marketing-led company, so they went to press with "Our innovative new artificial intelligence system uses a deep machine learning algorithm running on new exascale computing platforms to determine the best course of action to take in each case."
The engineers in the room were not happy about this. The marketing person said, "Don't sell yourself short. You developed a system that records data about what has already happened, remembers it, then makes decisions about what to do next based on what has already happened. I call that artificial intelligence."
One of the engineers shot back with, "When I was in college, we just called that 'computation.'"