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by janalsncm
1273 days ago
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You may not see one as a subset of the other but there is no shortage of nested diagrams like [1], showing machine learning as a sub-field of artificial intelligence. Further, the canonical Russell and Norvig AI textbook [2] only mentions machine learning briefly, as one of several skills that a computer would need in order to pass the Turing Test: > machine learning to adapt to new circumstances and to draw new conclusions And the Wikipedia page (which also contains a similar nested diagram) describes ML as a “part of” artificial intelligence. So it is pretty clear to me that ML is treated as a sub-field of AI. However I still believe the AI field dances around the definition of Intelligence, preferring a practical task-oriented definition instead. [1] https://www.edureka.co/blog/ai-vs-machine-learning-vs-deep-l... [2] https://www.amazon.com/Artificial-Intelligence-Approach-Stua... [3] https://en.wikipedia.org/wiki/Machine_learning |
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> As of 2020, many sources continue to assert that ML remains a subfield of AI.[29][30][27] Others have the view that not all ML is part of AI, but only an 'intelligent subset' of ML should be considered AI.[5][31][32]
I'm well aware that there are some people who regard anything ML-related to be AI, which is the sensationalist view taken by the popular press who want to write stories about AI, but that doesn't mean it's true. What does something like a SVM classifier have to do with AI - it's more like a line fitting technique. Or what about a neural net that classifies photos as cat vs dog - seems better described as image recognition than AI (and the whole post-AlexNet modern neural net revolution was born out of the 2012 ImageNet image recognition competition). Or how about an echo-cancelling circuit in a telephone - is that AI to you? Why not - it's based on machine learning ...
As for ChatGPT, technically it's a language model, so really part of NLP - linguistics research. All it does it try to predict the next word in a word sequence. Of course it therefore ends up regurgitating lots of intelligent stuff it was trained on (as well as dumb and false stuff it was trained on), but that doesn't make it intelligent. Similarly, we don't say Google is AI just because it responds to search queries by finding web pages with intelligent content.