Novel new approaches to the use of AI – highlighting its use as an augmentation to human judgement, not a substitute – are welcome, but still fall far short of addressing the elephant in the room – most machine learning or AI today is still pure statistical inference, often without even implicit acknowledgement of the path of causation (grass grows when the sun shines – but which causes which?). Until this problem question is addressed, even the new approaches outlined in this article will just be fitting data to a curve.
https://rob.al/2K3TZT2
A branch of A.I. called deep learning has transformed computer performance in tasks like vision and speech. But meaning, reasoning and common sense remain elusive.
Is There a Smarter Path to Artificial Intelligence? Some Experts Hope So
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