How should humans and robots work together

Date:2020-12-22

In addition to promoting changes in industry and technology, the artificial intelligence era also raises concerns about the future fate of mankind, because people worry that most human jobs will be replaced by machines. The real result of artificial intelligence is to occupy the upper reaches of the value chain and involve value. or work with a high intellectual disability. So, in the era of artificial intelligence, how should humans and robots work together?

Collaborative Robot

The smarter the robot, the more humans must understand robots

In the era of artificial intelligence, one of the abilities that people must possess is the ability to get along with artificial intelligence. Whether we like it or not, this era has come before us. In the next five to ten or twenty years, we will see that artificial intelligence is widely used in various fields. The ability to get along with artificial intelligence, just like what we do with the mobile Internet today, will become a necessary condition for a person's survival.

The more advanced science and technology, the more humans need to understand technology; the smarter the machine, the more they must understand the machine and explore the boundaries of science and technology beyond the machine. So, how can we have such scientific thinking and keep up with the development of science and technology? We must go back to the basics and understand the nature of science and artificial intelligence.

In the final analysis, artificial intelligence is an information processing algorithm. Currently, the most promising algorithm is called a deep learning algorithm, which imitates the neural network of the human cerebral cortex. There are only six layers of neural networks in the human cerebral cortex, and today's artificial intelligence programs can have a hundred layers of neural networks, so it is called deep learning. However, no matter how complicated the algorithm itself is, we can still know the essence of the algorithm, which 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 do and what it cannot do in the future. The first is the ability to get along with people. Artificial intelligence, a deep neural network, can process a large amount of data and information, but it also has great limitations, such as the ability to reflect on oneself, 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 to people, it can only process specific data in a specific field. It does not have a large amount of background knowledge and a world common-sense system. It can recognize a large amount of data and images, but it is difficult to truly understand a situation. In this case, it is difficult to understand everyone's thinking. Besides, artificial intelligence does not have all the physiological functions of human beings, including human emotions, human empathy neurons, mirror neurons, etc.

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There are no parts of self-awareness, self-reflection, and self-awareness in artificial intelligence algorithms, so it is difficult to understand ourselves because many times we can contact people by forcing ourselves, but artificial intelligence does not have this ability.

Due to the above limitations, in future work, artificial intelligence is still good at repetitive field clear rules, people communicate with others, and understand the intentions of others in a lot of communication. In the final analysis, machines serve people. As long as people stand tall, robots will do their best to help.