In addition to promoting the transformation of industry and technology, the era of artificial intelligence also brings people’s worries about the future fate of human beings. It stems from the fear that most of human work will be replaced by machines. In Xiaobian’s opinion, the real result of artificial intelligence is to occupy the upper reaches of the value chain, involving values or jobs with extremely high intellectual threshold. So, in the era of artificial intelligence, how should people and robots work together?
The smarter the machine is, the more human beings need to understand it
In the era of artificial intelligence, Xiaobian’s first point of view is that a person must have the ability to get along with artificial intelligence. Whether we like it or not, this era has come to us. In the next five to ten or twenty years, we will see them widely used in various fields. The ability to get along with artificial intelligence, just like our ability to get along with the mobile Internet today, will become a necessity in one’s life.
With the development of science and technology, human beings need to know more about science and technology. The smarter the machine is, the more we need to understand the machine and go beyond the machine to explore the boundary of science and technology. So how can we have such scientific thinking and keep pace with the development of science and technology? We need to go back to the most basic place to understand the nature of science and the nature of artificial intelligence.
In the final analysis, artificial intelligence is an information processing algorithm. At present, the most promising algorithm is called deep learning, which imitates the neural network of human cerebral cortex. But the human cerebral cortex has six layers of neural networks, and now artificial intelligence programs can have more than 100 layers of neural networks, so it is called deep learning. But no matter how complex the algorithm itself is, we can still know that the essence of this algorithm is to use a deep network to process data to get the correct answer.
When we use this basic thinking to understand artificial intelligence, we can easily know what it can and can’t do in the future. The first thing is the ability to get along with people. Artificial intelligence, such a deep neural network, can deal with huge amounts of data and information, but it also has great limitations, such as the ability to self reflect, the ability to truly understand the common sense of the world, and the ability to understand the inner thoughts of others.
Although the current artificial intelligence can talk with people, it can only deal with specific data in a specific field, without a lot of background knowledge and common sense system of the world that human beings have. It can recognize a large number of data and images, but it is very difficult to understand a situation and the mind of everyone in the situation. In addition, artificial intelligence does not have all the physiological functions of human beings, including human emotions, human empathy neurons, mirror neurons and so on.
In the algorithm of artificial intelligence, there is no part of self cognition, self reflection and self-consciousness, so it is difficult to understand itself. It’s hard to understand yourself, and it’s hard to understand others, because a lot of times we can reach people by pushing ourselves, but artificial intelligence doesn’t have this ability.
Because of the above limitations, in the future work, what artificial intelligence is good at is still in the repetitive field with clear rules, and people need to understand the intention of others through a lot of communication. In the final analysis, machines serve people. How high people stand, the help of robots will be great.