The impact and benefits of applying artificial intelligence in immigration management in Vietnam: Some theoretical, legal and practical issues

Authors

  • Thi Thanh Nga Nguyen*, Manh Hung Nguyen

Keywords:

advantage, artificial intelligence, immigration management, impact, management

Abstract

The development of artificial intelligence (AI) technology has had a strong impact on the political, economic, cultural, and social activities of countries around the world, including Vietnam. Many countries have been testing and applying AI in several fields and have seen future prospects. This reality requires countries to invest in researching and applying these achievements in various fields, including state management, to improve the effectiveness and efficiency of this field. Obviously, AI application is related to a complicated and high technical level which belongs to a wide range of issues. In the scope of this study, the authors only focus on clarifying the impacts and advantages of applying AI in immigration management, as long as propose some solutions to improve the efficiency of AI applications in in the coming time: strengthen the Party's leadership and State management in research and application of AI in the field of
immigration management; establish good communication and educate laws on immigration; research and apply AI in immigration  management…

DOI:

https://doi.org/10.31276/VJST.65(10).49-52

Classification number

5.5

Author Biography

Thi Thanh Nga Nguyen*, Manh Hung Nguyen

Political Academy of The People’s Public Security, Tien Duoc Commune, Soc Son District, Hanoi, Vietnam

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Published

2023-10-30

Received 17 January 2022; revised 10 February 2022; accepted 14 February 2022

How to Cite

Nguyen Thi Thanh Nga*, Nguyen Manh Hung. (2023). The impact and benefits of applying artificial intelligence in immigration management in Vietnam: Some theoretical, legal and practical issues. Version B of Vietnam Journal of Science and Technology, 65(10). https://doi.org/10.31276/VJST.65(10).49-52

Issue

Section

Social Sciences and Humanities