Mathematically, DL is a subset of ML. ML is a subset of AI.
Discussion
Also any ML model that involves neural nets can be termed as DL if the number of neural nets present in the hidden layer is really big that such model is now capable of predicting the underlying deep and intricate features present in the given test datasets
Generally AI and DL models are separated when describing them. Normies don’t even know what ML DL even is, much less technicalities if a subset.
When talking AI, if you say it was trained using ML, it suggests it wasn’t using DL.
Wikipedia also agrees with what I said
I agree with you also, technically correct, but it is not how people talk about them, or necessarily the best marketing to always say AI/ML.
We might as well say; AI / ML / DL..
Theoretically, but in practice they are different things when describing types of AI. When someone says, “This was trained using ML” means it didn’t use DL.