AI vs Machine Learning Terminology
The cluster centers on debates about whether current technologies like machine learning should be labeled as 'AI', criticizing it as hype or marketing while others defend its broad historical usage.
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machine learning is fine, it's meaningful technical term at least. AI doesn't mean anything
"AI" still means "Artificial Intelligence", a broad field that includes machine learning. If you think otherwise, I would like to hear why, please.
Can we stop calling everything AI if it's not?
The word AI has come to mean machine learning of any kind, which definitely exists. Maybe you’re thinking of AGI (artificial general intelligence)?
How does "it's called machine learning not AI" help anyone know how it works? It's just a fancier sounding name.
The timeless problem of AI, anything that starts out AI ends up being rebranded as not AI once it's understood. It's the no true Scotsman fallacy. Machine learning is AI, it's just not human level AI.
It's machine learning. It's not AI. Please, all, let's try hard to use words that mean what they mean.
It's my understanding as well, many things that a modern programmer thinks in term of "computation" were once considered to be "AI". Lisp and Prolog were "AI", even the A* algorithm is still considered a rudimentary form of "AI" in textbooks just because it uses heuristics. There's a joke that says "every time AI researchers figure out a piece of it, it stops being AI" [0].It's why I use "AI" and "ML" interch
I've worked on ML, and AI before, and there's no real reason not to call it AI for convenience imo. "AI" is the hype word, so why not :)
That's a question of terminlogy. Nowadays AI seems to include machine learning as a subfield. It doesn't matter much. But AI is a sexy term again (after the years of the AI winter), and companies market machine learning under AI now. Also, classic AI books now include ML, not just symbolic stuff, logic, planning and graph search.