Labor Law Implications of the Use of Artificial Intelligence on Employment in Indonesia as a Developing Country
DOI:
https://doi.org/10.59188/eduvest.v6i1.52558Keywords:
labour, use of artificial intelligence, regulatory comparison, job marketAbstract
This study examines the legal implications of Artificial Intelligence (AI) adoption in professional employment sectors in Indonesia and compares them with regulatory frameworks in the United States. As a developing nation operating under a civil law system, Indonesia has yet to establish comprehensive regulations capable of responding to the disruptions AI poses to labor stability and job availability. Existing labor legislation and electronic systems regulations do not sufficiently protect workers from the risks of automation or AI-driven termination of employment. In contrast, the United States, through Federal Executive Order No. 14110 (2023) and the Automated Employment Decision Tools Law (2021), has established adaptive regulatory mechanisms emphasizing independent audits, transparency in AI utilization, and the protection of civil rights and employment equity. The findings indicate that Indonesia must develop more responsive AI governance within its labor regulatory framework, including limiting the use of AI in recruitment, restricting AI-based efficiency layoffs, and implementing clear accountability standards for AI providers. These conclusions highlight the need for labor law reform to balance technological advancement with worker protection in the digital era.
References
Agner, L., Necyk, B. J., & Renzi, A. (2022). User experience and information architecture: Interaction with recommendation system on a music streaming platform. In Handbook of usability and user-experience (pp. 247–268). CRC Press.
Aliiev, R. N. (2024). Development of a personalized content recommendation system for streaming platform based on user behavior analysis.
Coeckelbergh, M. (2020). AI ethics. MIT Press.
Coglianese, C. (2023). People and processes: AI governance under Executive Order 14,110. Administrative & Regulatory Law News, 49, 9.
De Stefano, V. (2015). The rise of the just-in-time workforce: On-demand work, crowdwork, and labor protection in the gig economy. Comparative Labor Law & Policy Journal, 37, 471–504.
Goksel-Canbek, N., & Mutlu, M. E. (2016). On the track of artificial intelligence: Learning with intelligent personal assistants. International Journal of Human Sciences, 13(1), 592–601.
Hoxhaj, O., Halilaj, B., & Harizi, A. (2023). Ethical implications and human rights violations in the age of artificial intelligence. Balkan Social Science Review, 22(22), 153–171.
Hussain, V. B. H. (2025). Artificial intelligence in everyday applications: Enhancing user experience through smart devices and personal assistants.
Kaharuddin, & Haq, Z. A. (2024). Kecerdasan buatan: Aspek perlindungan hukum di era digitalisasi. Kencana.
Kalideen, M. R., & Yağlı, C. (2025). Machine learning-based recommendation systems: Issues, challenges, and solutions. Journal of Information and Communication Technology, 2, 6–12.
Kamila, M. K., & Jasrotia, S. S. (2025). Ethical issues in the development of artificial intelligence: Recognizing the risks. International Journal of Ethics and Systems, 41(1), 45–63.
Khogali, H. O., & Mekid, S. (2023). The blended future of automation and AI: Examining some long-term societal and ethical impact features. Technology in Society, 73, 102232.
Lachimipriya, K., Rajam, G. R. M., Vaidianathan, B., & Shyja, R. L. (2024). Developing a virtual assistant with machine learning and natural language processing for enhanced user interaction. Central Asian Journal of Mathematical Theory and Computer Sciences, 5(6), 629–642.
Mokoginta, A. (2022). Perlindungan hukum terhadap hak pekerja menurut Undang-Undang Nomor 11 Tahun 2020 tentang Cipta Kerja. Lex Crimen, 11(5).
Pakpahan, R. (2021). Analisa pengaruh implementasi artificial intelligence dalam kehidupan manusia. Journal of Information System, Informatics and Computing, 5(2), 506–513.
Patil, S. D. (2025). Hybrid AI models for dynamic content recommendation in streaming services. International Journal of Research Science and Management, 12(2), 9–13.
Rawassizadeh, R., Sen, T., Kim, S. J., Meurisch, C., Keshavarz, H., Mühlhäuser, M., & Pazzani, M. (2019). Manifestation of virtual assistants and robots into daily life: Vision and challenges. CCF Transactions on Pervasive Computing and Interaction, 1(3), 163–174.
Sarifal, P. (2023). Pendekatan komparatif menyelesaikan masalah filsafat hukum.
Wijaya, A., Solechan, & Suhartoyo. (2022). Analisis yuridis pengaturan pemutusan hubungan kerja dalam Undang-Undang Ketenagakerjaan setelah pengesahan Undang-Undang Cipta Kerja. Diponegoro Law Journal, 11(2).
Wright, S. A., & Schultz, A. E. (2018). The rising tide of artificial intelligence and business automation: Developing an ethical framework. Business Horizons, 61(6), 823–832.
Zainuddin, M., & Karina, A. D. (2023). Penggunaan metode yuridis normatif dalam membuktikan kebenaran pada penelitian hukum. Smart Law Journal, 2(2), 114–123.
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