It is undeniable to no one that the artificial intelligence He has an extraordinary ability to perform complex activities that require a lot of intelligence and creativity, however, this technology has shown his inability to perform tasks as simple as picking something up off the floor, tying his shoelaces, and even experiencing feelings.
This challenge that is present in artificial intelligence and robotics is known as ‘Moravec’s paradox’. But why are the simplest things the hardest for AI to learn?
The main reason why artificial intelligence finds it difficult to imitate some human abilities is because it took millions of years of natural evolution for man to develop them. Therefore, this technology will not find it so easy to do so.
This is because when we teach artificial intelligence, what is applied is reverse engineering, that is, the effort to copy a human capacity will be proportional to the time it took to consolidate.
“How long have we been able to talk about the intelligent man, about reason? Compared to other evolutionary processes, the time is so much shorter, so we can code and replicate this more successfully.” says Gonzalo Zabala, a robotics researcher at the Interamerican Open University.
However, acting reflexively in an unforeseen situation or performing motor activities are tasks that are impossible for artificial intelligence to perform, since they require enormous computational efforts.
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To whom do we owe this paradox?
This paradox was discovered by robotics researcher Hans Moravec in 1988, who established that “It is relatively easy to get computers to display abilities similar to those of an adult human in an IQ test or when playing checkers, and very difficult to get them to acquire the perceptual and motor skills of a one-year-old baby”