Machine Intelligence Test

Alan Turing was an English computer scientist who participated in decrying the enegma machines used by the Germans during World War II. After the war, he put his eyes on early computers. Especially she was interested in how the machines could think. In a 1951 paper, he proposed a test called “copying game”. It was based on the Victorian Parlor game. In the game, a man and woman sit in a room and their “inquiry” sits in another room.

The inquiry asks the male and the woman a question. Then each of the team sends its answer back to the written note. Then it depends on the inquiry that he decides which of the written answers has come from a man or woman. In an additional turn, the male tries to fool the inquiry, while the woman tries to help. Now this game looks dull and feminine for modern ear. But for turing it was an excellent basis to test the intelligence of the machine. She imagined an updated copying game in which a man replaces a man.

Then the inquiry will ask both the woman and the machine a question and will take their answer in the written note. If the inquiry had the same possibility of choosing one or the other, the machine should be considered intelligent. The game was later known as the “Turing Test”. This test raised a lot of curiosity in a “imaginative machine”, even though it was revealed a few years before McCarthi creating the term artificial intelligence. Even after about 70 years, this test still seems interesting. Imagine if you can ask a machine in your natural language and you get an answer that is not different from the answer of another human being?

Even after saying this, most experts agree that the turing test is not necessary that the best way to measure intelligence. One thing is that it depends a lot on the inquiry. Some people can easily cheat thinking that they are talking to another person. It also believes that artificial intelligence will be very similar to human intelligence.

You would assume that a machine will be able to have a good conversation before an advanced task discovery of new drugs or accurately predicting the global weather patterns. Nevertheless, the Turing test still inspires a lot of innovations. Companies still try to make intelligent chatbott, and are still natural language processing (NLP) competitions that try to pass this test. It seems that modern machines are just a few years away from passing the turing test.

Many modern NLP applications are capable of accurately understanding your requests. Now they just have to improve their ability to react. However, even if a machine is capable of passing the test, it seems impossible that the same machine will be considered intelligent. Even though your smart phone can cheat you thinking that you are talking to a person, it does not mean that it will offer a meaningful conversation.

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