Earlier quoted context omitted.
In my field it's accepted (by some) that you write "AI" for your grant proposal and say "ML" when you talk to colleagues and want to be taken seriously. It feels a bit wrong to me, because as you say it's arguably a grift, in this case on the taxpayer who funds science grants. More charitably it might just be the applicant admitting that they have no idea what they are doing, and the funding agency seeing this as a g…
Most people outside of academia understand AI to include way more than just ML. People refer to the bots in video games as AI and they are probably a few hundred lines of straightforward code. I don't think there is anything wrong with using the colloquial definition of the term when communicating with funding agencies/the public.
But I only wish we could say that a few hundred lines of code was "AI": that would mean funding for a lot of desperately needed software infrastructure. Instead AI is taken as synonymous with ML, and more specifically deep neural networks, for the most part.