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Political and Economic Analysis of Artificial Intelligence on Common Prosperity

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DOI: 10.23977/infse.2023.040110 | Downloads: 23 | Views: 590

Author(s)

Heng Lyu 1,2, Junqi Liu 3, Xuejun Wang 2, Zhuangying Fang 2, Zili Chen 2

Affiliation(s)

1 King Mongkut's University of Technology Thonbur, Bang Mod, Thung Khru, Bangkok, 10140, Thailand
2 Guangzhou Huali College, Guangdong, Guangzhou, China
3 China Soft International Technology Service (Hunan) Co., Ltd, Changsha, Hunan, China

Corresponding Author

Zili Chen

ABSTRACT

As the times have progressed, we must strive to ensure a more prosperous life for all by stimulating the expansion of productive forces, transforming the traditional economic framework, and improving infrastructure to foster the growth of society. Economic development is an essential task, and only through vigorously promoting high-quality economic growth can we better address the current issues and enable people to lead contented and affluent lives. To ensure that workers are adequately compensated, it is essential to understand how to reach this objective. After examining the accomplishments and difficulties of China's swift economic progress over the past 40 years of reform and liberalization, this paper summarizes the impediments that impede the further growth of China's economy. The utilization of artificial intelligence technology in all aspects of life has been proven to significantly enhance the efficiency of the entire population and its environment. Finally, it puts forward some policy suggestions such as accelerating the process of artificial intelligence industrialization, increasing government support and strengthening the training of talents.

KEYWORDS

Artificial Intelligence Technology, Political and Economic Theory, Common Prosperity, Intelligent Revolution

CITE THIS PAPER

Heng Lyu, Junqi Liu, Xuejun Wang, Zhuangying Fang, Zili Chen, Political and Economic Analysis of Artificial Intelligence on Common Prosperity. Information Systems and Economics (2023) Vol. 4: 66-77. DOI: http://dx.doi.org/10.23977/infse.2023.040110.

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