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> additional course work in AI-related subjects such as statistics and probability, computational modeling, machine learning, and symbolic computation

How is this automation and not AI?



I probably wouldn't call it automation, but you could regroup all these under the term machine learning or data science and IMHO it would be valid. I think OP refers to AI as the autonomous agent type of AI. Conversation, understanding the world, moving & acting, planning & decision making, multi-agent collaboration, this type of stuff. Some of these might fall under machine learning, but I would say most are outside of the scope of machine learning -- and do not seem to be targeted by the so-called AI degrees. However, I think it's fine to call those degrees AI, because they are AI -- machine learning is AI.

The question is should we name this after the smallest denominator (machine learning) or the biggest one (AI). Also, in the short term future, more and more real AI (i.e., not machine learning) will probably be integrated in those classes, so why not skip one painful rebranding step.


To me "AI" means it learns by itself. Including the decision what to learn, and how. Having done quite a bit of statistics courses over the last few years (albeit with a focus on medicine/biology) and some of free the basic machine learning courses, AFAICS that is not the case, what and how something is learned is all decided and done by the human(s) in front of the computer, no? So, I don't see much "intelligence" - in the machine. Lots of it in those humans, of course.


But with the application of those diciplines you can build machines that "learn." The "by themselves" bit is agi which is a specific subset of ai and would be more on the research side of things, not a bs.

I think the real issue appears that the media has confused people as to what "ai" practically means from a compsci perspective.


> To me "AI" means it learns by itself

Your definition doesn't match the real definition. Technically, a hard coded rule-based decision algorithm is a form of very basic AI. You seem to be confusing ML and AI- ML is a subset of AI that focuses on training a complex model.


No I'm not confused, as I said, I took the courses. I know what is. I'm just saying that I don't see this as "AI" at all and why. I don't really care that someone decided to define what is possible now as "AI" for whatever reason because I don't agree and don't see that as reasonable. It's not like those "definitions" are laws either, ask around, even among professionals, and you get as many different definitions as you want. Therefore I prefer to use a "common sense expectation/interpretation" approach, and "common sense" here to me means coming from above (where we want to go), not from below (what we have thus far achieved).




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