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    Dr. Song
    from: Kaohsiung
2021-06-10 05:37:26 | onclick: | Doctor talks about establishing complete basic theory of artificial intelligence.

As a strategic technology leading the fourth scientific and technological revolution, artificial intelligence (AI) has brought significant and far-reaching impact on social construction and economic development. However, security issues such as data privacy, algorithm bias and technology abuse are bringing severe challenges to social public governance and industrial intelligent transformation.

The first problem is the common problems in the development of science and technology. Science and technology is the weapon of development, and it may also become the source of risk, and artificial intelligence is no exception. First of all, the development of AI will trigger a new round of industrial revolution. On the one hand, it is the intellectualization of traditional industries, such as recommendation algorithm, user portrait and so on, to improve the efficiency and quality of service. On the other hand, the industrialization of intelligent technology has given birth to new industries, such as intelligent transportation, intelligent medical treatment, intelligent city, automatic driving, etc. At the same time, the development of AI also brings new risks and security risks. Therefore, we should pay attention to both the innovation and development of AI and the governance of AI.

The second problem is the particularity in the development and governance of artificial intelligence, which is embodied in the algorithm level, data level and application level.

At the algorithmic level, the existing AI algorithms are fragile and have poor generalization ability, which means that if the algorithm is applied to the actual scene which is very different from the training scene, there will be security problems. Take unmanned driving as an example, it is impossible to exhaust all scenarios in AI training. When encountering new emergencies, it is impossible to deal with them, which will lead to the misuse of AI technology, which may be unconscious misuse. At the same time, this vulnerability also makes the AI system easy to be attacked and cheated, which creates opportunities for the abuse of AI technology.

From the data level, the application effect of artificial intelligence depends largely on the data quality, but it will bring privacy leakage, data right confirmation and other problems. If the problem of data security is not solved well, the artificial intelligence industry will not develop healthily.

At the application level, artificial intelligence technology has gradually impacted people's lives, such as helmets at the sales offices, take away riders trapped in calculus, and other technologies that may have a significant impact on society, such as deep forgery, all of which must be safe and controllable.

The innovation and development of AI is the main reason. Throughout the development history of information technology, although the development of information technology is extremely rapid, it is basically safe and controllable. However, the development of artificial intelligence is slow and tortuous, and security problems emerge one after another. The difference between the two is that since the beginning of the information revolution, three theories of information have been established, namely Turing machine theory (1936), Shannon's communication theory (1948) and Wiener's Cybernetics (1948). It is precisely because of the solid theoretical foundation that we can guide the healthy development of information technology. However, the development of artificial intelligence is on the contrary, its basic theory has not been established. Although it has experienced the first generation of AI's semiotic model (knowledge driven) and the second generation of AI's sub semiotic model (data driven), they have great limitations and can not form the theoretical basis of AI. Due to the lack of theoretical guidance, the development of AI is difficult to control.

At present, we must solve the basic theoretical problem of "neck sticking". Therefore, to establish the theoretical basis of AI is the original intention of "the third generation of artificial intelligence". The development path of the so-called "third generation of artificial intelligence" is to integrate the first generation of knowledge driven and the second generation of data-driven artificial intelligence, develop the third generation of artificial intelligence basic theory on the basis of the previous two generations of theory, and establish a complete basic theory of artificial intelligence. In terms of specific ideas, we use four elements of knowledge, data, algorithm and computing power to establish new interpretable and robust AI theories and methods, so as to develop safe, reliable, reliable and scalable AI technology. In this way, the development of the third generation of AI and AI governance should be grasped together to achieve complementary and common development.

Artificial intelligence has just begun, and a more exciting play is about to be staged. The world should unite to develop a safe and controllable third generation of artificial intelligence, so that artificial intelligence can truly benefit mankind.

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