Research on Factors Influencing the Training of Artificial Intelligence Applied Talents Based on DEMATEL-TAISM

Abstract The identification of key influencing factors in the training of applied talents in artificial intelligence includes two stages, namely, the establishment of factor index system and the identification of key influencing factors. Firstly, referring to a large number of literatures on the influencing factors of talent training and the sustainability evaluation index framework at home and abroad, and in combination with the characteristics of the development of China's artificial intelligence industry, this paper summarizes the influencing factors from the multi-dimensional training path of government departments, universities, enterprises and scientific research institutes. According to the training purpose of artificial intelligence application-oriented talent training, this paper constructs the influencing factor index system of artificial intelligence applied talents training. Then, the DEMATEL method is used to establish multiple correlation matrices according to the direct influence correlation between the factors, and the degree of influence, the degree of being influenced, the centrality degree, and the reason degree are calculated; Using the improved AISM method and based on the idea of game confrontation, a set of confrontation level topological maps with comprehensive influence values reflecting the interaction of factors are obtained from the two opposite extraction rules of result priority and cause priority, respectively. Finally, the relevant suggestions are put forward in order to provide reference for promoting the training of applied talents in China's artificial intelligence industry.