The question of whether machines can compete with human intelligence has concerned the scientific community since 1950 when Alan Turing published his world-changing paper.
The science of artificial intelligence provides a series of challenges that must be overcome before the dream of Turing could be realized. If you are put the question: “Which element has the atomic number 27 and precedes “blue” and “green“?”
The human brain is able to combine language concepts and access information from a huge database in memory before you answer: “Cobalt“.
Computers have become very proficient in it. Think that the Internet’s search engines can find your question just after you type a few letters.
However, the modification of the mathematical algorithm behind the search engines so that they can give chess problems answers was the beginning of the domination of machines. This is what happened in 1999 when the IBM computer Deep Blue won over the world chess champion Garry Kasparov.
Twelve years after it, the IBM supercomputer Watson had the ability to analyze the importance and content of human language and quickly process enormous amounts of information.
The analysis of the logical implications of each movement on a chessboard is the easiest task for a computer.
The Turing test as a way to distinguish human intelligence from an artificial one
The Turing test is based on Alan Turing’s study of 1950 and has to do with communication. Turing asked: when a man and a computer communicate through a network, can you distinguish one from another?
Since the only way to judge a person’s intelligence is to communicate with them, wouldn’t it be reasonable to suggest using the same method for artificial intelligence? In other words, if a computer was able to impersonate a human, then it would probably mean that it is intelligent enough.
However, the modern science of artificial intelligence believes that this definition is not reliable. Even if a computer manages to pass the Turing test, it still does not have human perception. This is easily proven if we think that although computers are able to translate languages, they can’t make sense of idioms and complex concepts.
The biggest challenge of artificial intelligence is to emulate the human ability to perceive visual images. Humans are able to decode malformed characters and find hidden messages behind them. Computers are not. They lack this property of human intelligence and perception.
We can clearly see the importance of this ability if we think about the operation of security cameras. Security companies would love to have software capable of recognizing suspicious persons or behavior. So far, only the human eye can do that.
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