ISSN: 2222-6990
Open access
AI is one of the most discussed technologies and is anticipated to reshape public services in the future in China to enhance the quality of services and thus promote the growth of the economy in the respective country. This paper aims to assess the current position, potential and challenges of implementing AI in the Chinese public sector. The research adopted the interpretative research philosophy and inductive research approach to investigate the implications of AI in organizations and the sociopolitical, economic and ethical concerns through interviews, questionnaires and case analysis. From the review, it is apparent that the development of AI has continued to enhance in the current world especially in aspects such as health, learning institutions, and transport through cities, this is due to the support from companies such as Alibaba, Tencent, and Baidu. However, the study also reveals that several barriers prevent AI from being implemented, namely some of these are about the job, tools, competencies and professionalism such as data and algorithms. The consequences of these challenges on efficiency and performance of public services are tremendous, which can cause problems such as workforce breakdown, decrease in productivity, and loss of public confidence. The study suggests how AI can be effectively integrated into talent management, government-industry-academia partnerships, effective policies, data sharing, and investment in AI infrastructure. Future work should aim at carrying out research to determine the effects of implementing AI in the long run, examine ways of dealing with job losses and evaluate the efficacy of measures that have been put in place to ensure the use of AI is ethical. This way of thinking is designed to tap into the maximum capacity of AI as a tool for improving the quality of public services and supporting the development of China’s economy and society.
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(Xiaoyan & Segumpan, 2024)
Xiaoyan, L., & Segumpan, R. G. (2024). Challenges of AI Adoption in China Public Service and its Impact on Efficiency and Performance. International Journal of Academic Research in Business and Social Sciences, 14(6), 404–416.
Copyright: © 2024 The Author(s)
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