1/2 That aficionados to the allure of AI do not understand ML algorithms does not mean to imply that those who build them do not! >>https://www.theguardian.com/commentisfree/2018/aug/05/magical-thinking-about-machine-learning-will-not-bring-artificial-intelligence-any-closer?CMP=share_btn_tw …
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Hmm, some AI is done badly for sure but I guess that that applies to any "young" discipline where research is still at a "trial and error" stage. Reminds me of steam engines and thermodynamics. We need more math analysis a la Mallat.
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I'm not sure the point is it's done badly per se. Just that it's not always done scientifically. That's fine and AI/ML can choose to be engineering, science, or both.
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Provided that we know which position we are taking when drawing conclusions from the work we are dealing with: I.e., if the approach is that of engineering we should not present it as scientific knowledge
End of conversation
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