Generative artificial intelligence

opportunities and challenges for the right of access to justice

Autores

  • Kim The Nguyen Duong University of Economics Ho Chi Minh City image/svg+xml
  • Thi Phuong Diep Doan Vietnam National University Ho Chi Minh City image/svg+xml

DOI:

https://doi.org/10.24862/rcdu.v17i2.2395

Resumo

The rapid development of information technology and artificial intelligence has opened up new pathways to exercise fundamental human rights, including the right of access to justice. However, as legal systems begin to integrate generative AI tools, questions arise regarding their actual effectiveness, reliability, and inclusiveness. This study investigates how generative AI is being used in Vietnam’s legal context to support individual legal needs. Based on a structured survey of 582 respondents from diverse professional and educational backgrounds, the research reveals critical limitations such as the lack of accuracy in AI-generated legal content, difficulties in practical application, and insufficient legal frameworks to govern AI use. Although AI presents potential to support equitable access to justice, current implementations remain inaccessible to many and may reinforce existing inequalities. The study calls for a more robust regulatory response and technical improvements to ensure that generative AI evolves as a trustworthy and inclusive legal support tool.

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Biografia do Autor

Kim The Nguyen Duong, University of Economics Ho Chi Minh City

Ph.D. College of Economics, Law and Government. University of Economics Ho Chi Minh City, Vietnam                                                                 

Thi Phuong Diep Doan, Vietnam National University Ho Chi Minh City

Prof. University of Economics and Law, Vietnam. National University in Ho Chi Minh City, Vietnam.

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Publicado

2026-06-18

Como Citar

Duong, K. T. N., & Doan, T. P. D. (2026). Generative artificial intelligence: opportunities and challenges for the right of access to justice. Revista Do Curso De Direito Do UNIFOR, 17(2), e262395. https://doi.org/10.24862/rcdu.v17i2.2395