Turing test was put forward by British mathematician alan turing in 1950s to test whether artificial intelligence can simulate human thinking and behavior. The core of the test is to let some entities that can't identify whether they communicate with humans try to simulate human answers. If the other party really can't pass the test, it is regarded as not meeting the standard of human intelligence.

When an entity fails the Turing test, it may be because its artificial intelligence is very simple and lacks real human characteristics, such as creativity, empathy and emotion. There are also some external factors that may affect the test results, such as the language difficulty in the test and the content of the dialogue.

Failure to pass the Turing test does not mean that artificial intelligence is useless, but it means that we still cannot build an AI that is completely consistent with human thinking. This also proves the limitations of artificial intelligence at present, and allows us to better understand the thinking mechanism and behavior characteristics of human beings. This is of great guiding significance to the research of artificial intelligence, which is helpful to understand the essence of artificial intelligence more deeply and broaden the research field of artificial intelligence continuously.