Artificial intelligence surveillance and the right to privacy in Vietnam a human security policy
DOI:
https://doi.org/10.26618/ppxc9c11Keywords:
artificial intelligence surveillance, right to privacy, human securityAbstract
The rapid expansion of artificial intelligence (AI)–enabled surveillance has become a central feature of contemporary governance, enhancing public security while raising serious concerns for the right to privacy. This article examines AI surveillance in Vietnam through the combined lenses of human security and Article 17 of the International Covenant on Civil and Political Rights (ICCPR). Using doctrinal legal analysis and focused comparative evaluation, the study analyses how AI surveillance practices—such as facial recognition, biometric profiling, and behavioural analytics—generate cumulative privacy risks, including informational opacity, behavioural chilling, algorithmic bias, and institutional accountability deficits. It further assesses whether Vietnam’s existing legal framework, particularly the Law on Cybersecurity and Decree 13/2023/NĐ-CP, satisfies ICCPR standards of legality, legitimate aim, necessity, proportionality, and effective oversight. The findings reveal significant normative and institutional gaps. Drawing on comparative insights from the EU’s GDPR and South Korea’s PIPA, the article proposes a phased and context-sensitive reform pathway to strengthen privacy protection while supporting Vietnam’s digital transformation and national-security objectives.
References
Aloisit, A., & Gramanott, E. (2019). Artificial intelligence is watching you at work: Digital monitoring, employee monitoring and legal issues in the EU context. Artificial Intelligence Is Watching You, 41(1), 95–122. https://goo.gl/Cv4EAi.
Baldwin, R., Cave, M., & Lodge, M. (2012). Understanding Regulation: Theory, Strategy, and Practice. Oxford University Press.
Bennett, C. J., & Raab, C. D. (2017). The governance of privacy: Policy instruments in global perspective. In The Governance of Privacy: Policy Instruments in Global Perspective. MIT Press. https://doi.org/10.4324/9781315199269
Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research, 81, 1–15.
Celeste, E. (2019). Digital constitutionalism: a new systematic theorisation. International Review of Law, Computers and Technology, 33(1), 76–99. https://doi.org/10.1080/13600869.2019.1562604
Duberry, J. (2022). Artificial Intelligence and Democracy: Risks and Promises of AI-Mediated Citizen-Government Relations. In Artificial Intelligence and Democracy: Risks and Promises of AI-Mediated Citizen-Government Relations (pp. 1–244). Edward Elgar Publishing. https://doi.org/10.4337/9781788977319
Dunleavy, P., & Margetts, H. (2025). Data science, artificial intelligence and the third wave of digital era governance. Public Policy and Administration, 40(2), 185–214. https://doi.org/10.1177/09520767231198737
Ergashev, A. (2023). Privacy Concerns and Data Protection in An Era of AI Surveillance Technologies. International Journal Of Law And Criminology, 3(08), 71–76. https://inlibrary.uz/index.php/ijlc/article/view/38845%0Ahttps://doi.org/10.37547/ijlc/Volume03Issue08-14
Ezzeddine, Y., Bayerl, P. S., & Gibson, H. (2023). Safety, privacy, or both: evaluating citizens’ perspectives around artificial intelligence use by police forces. Policing and Society, 33(7). https://doi.org/10.1080/10439463.2023.2211813
Ghosh, A., Saini, A., & Barad, H. (2025). Artificial intelligence in governance: recent trends, risks, challenges, innovative frameworks and future directions. AI and Society, 40(7), 5685–5707. https://doi.org/10.1007/s00146-025-02312-y
Haney, B. S. (2019). Applied Artificial Intelligence in Modern Warfare & National Security Policy. SSRN Electronic Journal, 11, 61. https://doi.org/10.2139/ssrn.3454204
Johari, A., & Sparviero, S. (2025). Privacy and AI: Mitigating the Risks, Leveraging the Opportunities. Journal. Kommunikation-Medien, 2025(17), 1–17.
Kim, D. H., & Park, D. H. (2024). Automated decision-making in South Korea: a critical review of the revised Personal Information Protection Act. Humanities and Social Sciences Communications, 11(1), 1–11. https://doi.org/10.1057/s41599-024-03470-y
Lâm, T. T. (2024). Children’s personal information and personal data protection under the laws of the EU, US and Vietnam. Journal of Infrastructure, Policy and Development, 8(14), 8143. https://doi.org/10.24294/jipd8143
Lebovits, H. (2019). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. In Public Integrity (Vol. 21, Issue 4). St. Martin’s Press. https://doi.org/10.1080/10999922.2018.1511671
Malgieri, G., & Comandé, G. (2017). Why a right to legibility of automated decision-making exists in the general data protection regulation. International Data Privacy Law, 7(4), 243–265. https://doi.org/10.1093/idpl/ipx019
National Security Commission on Artificial Intelligence. (2021). National Security Commission on Artificial Intelligence. Final Report - National Security Commission on Artificial Intelligence, February, 1–756.
Nguyen, T. H. (2024). Investigating Driving Factors of Digital Transformation in the Vietnam Shipping Companies: Applied for TOE Framework. SAGE Open, 14(4), 21582440241301210. https://doi.org/10.1177/21582440241301210
Reddy, M. S., Vamsi, C., & Kathambari, P. (2024). Rescue me : AI Emergency Response and Disaster Management System. 2nd International Conference on Artificial Intelligence and Machine Learning Applications: Healthcare and Internet of Things, AIMLA 2024, 1–5. https://doi.org/10.1109/AIMLA59606.2024.10531386
Richards, N. M., & Hartzog, W. (2015). Taking Trust Seriously in Privacy Law. SSRN Electronic Journal, 19, 431. https://doi.org/10.2139/ssrn.2655719
Sakpal, S. S. (2024). AI Assisted Real Time Response Systems for National Emergency Preparedness and Disaster Management. 2024 Global Conference on Communications and Information Technologies, GCCIT 2024, 1–7. https://doi.org/10.1109/GCCIT63234.2024.10862886
Singh, T. (2024). AI-Driven Surveillance Technologies and Human Rights: Balancing Security and Privacy. Smart Innovation, Systems and Technologies, 392 SIST, 703–717. https://doi.org/10.1007/978-981-97-3690-4_53
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157. https://doi.org/10.1080/14494035.2021.1928377
Thanh, N. N. (2024). The opportunities and challenges of public policy communication in the context of digital transformation in Vietnam. Journal of State Management , 31(12), 13–21. https://jsm.quanlynhanuoc.vn/jsm/article/view/18
UNDP. (1994). Human Development Report 1994: New Dimensions of Human Security. New York: Oxford University Press. New York. Retrieved December, 12, 2022.
Yeung, K. (2018). Algorithmic regulation: A critical interrogation. Regulation and Governance, 12(4), 505–523. https://doi.org/10.1111/rego.12158
Zuboff, S. (2023). The Age of Surveillance Capitalism. In Social Theory Re-Wired (pp. 203–213). Routledge. https://doi.org/10.4324/9781003320609-27
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