1.2 Potential and Current Status of Artificial Intelligence

Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, techniques, and applied systems for simulating, eyeing, and extending human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in ways that humans can only similarly respond to. Research in this field includes robotics, language recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, theory, and technology are becoming more and more mature, and the field of application is expanding. It is conceivable that the technological products brought by artificial intelligence in the future will be the "container" of human intelligence. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a human being, and may exceed human intelligence.

A new round of technological revolution and industrial change is emerging, the formation of big data, theoretical algorithm innovation, the improvement of computing power, and the evolution of network facilities drive the development of artificial intelligence into a new stage, intelligence has become an important direction of technological and industrial development. According to Accenture research, "by 2035, the profits of businesses that successfully apply artificial intelligence (AI) will increase by an average of 38%. The introduction of AI could bring an additional $14 trillion in gross value added (GVA) to 16 industries in 12 countries."

As a new factor of production, Al can drive economic growth in at least three important ways.

• First, it can create a virtual workforce-what we call intelligent automation.

• Second, it can complement and enhance the skills and capabilities of existing labor and physical capital.

• And third, like other previous technologies, Al can drive innovation in the economy. Over time, this will become a catalyst for broad structural transformation, as countries that develop the use of AI will not only innovate in their approach, but also be able to innovate to open up new areas.

By optimizing intelligent automated processes, managing human and physical capital, and driving new innovations, AI can lead to significant and lasting profitability and economic growth. While the concept of artificial intelligence is highly sought-after, the current state of development has a number of issues that need to be addressed.

For technology developers, the barriers to data access are high: on the one hand, data sources are too centralized and big data are controlled by a few monopolistic companies; on the other hand, many valuable private data are difficult to access because privacy is difficult to guarantee. The high threshold of access to data hinders the evolution of algorithms.

For data owners, it is difficult to maximize the value of data due to the lack of clarity of data ownership. Especially for individuals, part of the data generated by autonomous behavior is controlled by Internet companies, who decide how to use the data; another part lacks flow channels, resulting in the value being completely buried. It is not enough to rely on only a few monopolistic leading enterprises to drive the development of artificial intelligence. Historical experience proves the necessity of socialized division of labor and the infinite potential of market economy. The development of an industry must introduce more participants and improve the overall development level through full competition.