From Uri Bram at Nautilus:
Human learning is always social, embodied, and occurs in specific practical situations. Mostly, you don’t learn to dance by reading a book or by doing experiments in a laboratory. You learn it by dancing with people who are more skilled than you.
Yes. In its first few decades, artificial intelligence research concentrated on tasks we consider particular signs of intelligence because they are difficult for people: chess, for example. It turned out that chess is easy for fast-enough computers. Early work neglected tasks that are easy for people: making breakfast, for instance. Such easy tasks turned out to be difficult for computers controlling robots.
Early AI learning research also looked at formal, chess-like problems, where we could ignore bodies and the social and practical contexts. Recent research has made impressive progress on practical, real-world problems, like visual recognition. But it still makes no use of the social and bodily resources that are critical to human learning. More.
Isn’t the principal issue the fact that robots don’t care what happens to their bodies?
See also: AI still can’t master language.
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