LEGAL TRANSFORMATION IN THE AGE OF ARTIFICIAL INTELLIGENCE: A LITERATURE REVIEW ON REGULATORY, ETHICAL AND DATA PROTECTION CHALLENGES IN INDONESIA

Authors

  • Gunawan Widjaja Fakultas Hukum Universitas 17 Agustus 1945 Jakarta Author

DOI:

https://doi.org/10.5281/zenodo.20045708

Keywords:

artificial intelligence, legal transformation, regulatory challenges, AI ethics, personal data protection, Indonesia

Abstract

The exponential development of artificial intelligence (AI) has created a fundamental disruption to the national legal order, demanding regulatory transformation that is adaptive to algorithmic autonomy, ethical issues, and the protection of personal data. This article aims to analyse the legal challenges faced by Indonesia in the AI era through a literature review using a juridical-normative approach and content analysis. The research findings indicate that Indonesia faces a specific regulatory vacuum (legal vacuum) that creates legal uncertainty, particularly regarding liability for discriminatory or harmful AI decisions resulting from the lack of transparency associated with the ‘black box’ problem. Fragmented inter-institutional authority and the regulatory body’s lack of technical expertise exacerbate the situation, whilst the implementation of Law No. 27 of 2022 on Personal Data Protection (PDP Law) faces technical dilemmas regarding data minimisation, informed consent, and the right to erasure within machine learning systems. From an ethical perspective, algorithmic bias has the potential to perpetuate structural discrimination that runs counter to the values of Pancasila, whilst the absence of an obligation to label synthetic content threatens the integrity of public information. This article recommends the enactment of a dedicated AI law adopting the principle of strict liability, strengthening the capacity of the Personal Data Protection Agency, formulating operational AI ethics grounded in Pancasila, and implementing a hybrid legal approach combining hard law with soft law. This legal transformation is an absolute prerequisite for Indonesia to harness the potential of AI for Indonesia Emas 2045 without compromising human rights, social justice, and the nation’s digital sovereignty.

Downloads

Download data is not yet available.

References

Acemoglu, D., & Restrepo, P. (2020). The wrong kind of AI? Artificial intelligence and the future of labour demand. Cambridge Journal of Regions, Economy and Society, 13(1), 25–35.

Act, E. A. I. (2024). The eu artificial intelligence act. European Union. https://www.wsgr.com/a/web/qrkz1SnNzWw6nk7B3oAyDa/10-things-you-should-know-about-the-eu-artificial-intelligence-act_v2.pdf

Adnin, I., Sapriya, S., Rahmat, R., Ramadhan, A. R., & Juwita, J. (2024). Responsivitas Tenaga Pendidik Terhadap Penyusunan Kebijakan Surat Edaran Pedoman Etika Artificial Intelligence. PAMARENDA : Public Administration and Government Journal, 4(2), 296–302. https://doi.org/10.52423/pamarenda.v4i2.32

Alfianto, D., Rido, A., & Wijaya, G. V. (2024). Pertanggungjawaban Perdata dan Tanggung Gugat Dalam Perkara Wanprestasi Dan Perbuatan Melawan Hukum. Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi Dan Perubahan, 4(6). https://doi.org/10.59818/jpm.v4i6.986

Cohen, J. E. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Surveillance & Society, 17(1/2), 240–245.

Eliyah, E., & Aslan, A. (2025). STAKE’S EVALUATION MODEL: METODE PENELITIAN. Prosiding Seminar Nasional Indonesia, 3(2), Article 2.

Firdaus, F., Iqbal, M., Sirait, W., Mulyani, L. N., Hidayat, R., & Putri, V. M. (2026). BUKU AJAR KECERDASAN BUATAN: Panduan Praktis dari Algoritma, Deployment hingga Etika di Era Industri 4.0. Serasi Media Teknologi.

Huang, L., Joseph, A. D., Nelson, B., Rubinstein, B. I. P., & Tygar, J. D. (2011). Adversarial machine learning. Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, AISec ’11, 43–58. https://doi.org/10.1145/2046684.2046692

Indonesia, K. A. (2020). National Strategy for Artificial Intelligence 2020-2045 (2020)(Indonesian). https://openresearch-repository.anu.edu.au/bitstreams/a954ab22-5b81-45de-80ed-823deffe3820/download

Li, Y., Shao, S., He, Y., Guo, J., Zhang, T., Qin, Z., Chen, P.-Y., Backes, M., Torr, P., Tao, D., & Ren, K. (2025). Rethinking Data Protection in the (Generative) Artificial Intelligence Era (arXiv:2507.03034). arXiv. https://doi.org/10.48550/arXiv.2507.03034

Ma’unah, I., Musyarofah, S., Zahra, A. F. Z. A., & Agrariyanti, Y. (2025). Pancasila dan Artificial Intelligence: Analisis Etis atas Regulasi AI di Indonesia: Pancasila and Artificial Intelligence: Ethical Analysis of AI Regulations in Indonesia. LITERA: Jurnal Ilmiah Mutidisiplin, 2(5), 718–746.

Persadha, D. P. (2026). BADAN PDP DAN MASA DEPAN KEDAULATAN DIGITAL INDONESIA. CISSREC.

Plan, S. (2016). The national artificial intelligence research and development strategic plan. National Science and Technology Council, Networking and Information Technology Research and Development Subcommittee. http://large.stanford.edu/courses/2018/ph241/cheng1/docs/ai-eop-oct16.pdf

Pradana, A. E., Herawati, A. R., Dwimawanti, I. H., & Maesaroh. (2025). Tantangan Kecerdasan Buatan Dalam Implikasi Kebijakan Pemerintah di Indonesia: Studi Literatur. Jurnal Good Governance, 51–66. https://doi.org/10.32834/gg.v21i1.889

Purbasari, R., Munajat, E., Fauzan, F., & Hakim, M. A. (2025). Model of Digital Collaboration Network in Digital Innovation Context: Social Network Analysis Approach. Review of Integrative Business and Economics Research, 14(1), 614–633.

Ravizki, E. N., & Yudhantaka, L. (2022). Artificial Intelligence Sebagai Subjek Hukum: Tinjauan Konseptual dan Tantangan Pengaturan di Indonesia. Notaire, 5(3). https://e-journal.unair.ac.id/NTR/article/download/39063/22918

Rebong, T. G. D., Hambali, J. H., & Timothy, F. (2025). Implementasi UU PDP Indonesia Dalam Pengembangan Sistem Kecerdasan Buatan: Tantangan dan Peluang. Cerdika: Jurnal Ilmiah Indonesia, 5(10), 2274. https://doi.org/10.59141/cerdika.v5i10.2856

Respati, A. A. (2024). Reformulasi UU ITE terhadap Artificial Intelligence Dibandingkan dengan Uni Eropa dan China AI Act Regulation. JURNAL USM LAW REVIEW, 7(3), 1737–1758. https://doi.org/10.26623/julr.v7i3.10578

Ridhwan, M. M. (2025). The Impact of E-Commerce Adoption on Micro, Small, and Medium Enterprises Performance in Rural Areas: Evidence from Indonesia (SSRN Scholarly Paper No. 5581690). Social Science Research Network. https://doi.org/10.2139/ssrn.5581690

Spinello, R. A. (2007). Intellectual property rights. Library Hi Tech, 25(1), 12–22. https://doi.org/10.1108/07378830710735821

Sukmaningsih, N. K. I. A. (2025). Urgensi Pengaturan Hak Cipta di Era Kecerdasan Buatan: Tantangan dan Solusi Hukum di Indonesia. Prosiding Seminar Nasional Hukum, Bisnis, Sains Dan Teknologi, 5(1), 16–22.

Sulistio, F., & Salsabilla, A. D. (2023). Pertanggungjawaban pada Tindak Pidana yang Dilakukan Agen Otonom Artificial Intelegence. UNES Law Review, 6(2), 5479–5490. https://doi.org/10.31933/unesrev.v6i2.1209

Tumanggor, T., & Sazali, H. (2025). Etika Regulasi dan Kebijakan Media Digital: Meningkatkan Kesadaran Publik di Era Informasi. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 6(3), 1657–1669. https://doi.org/10.63447/jimik.v6i3.1565

Valdivia, A. N. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism by Safiya Umoja Noble (review). Feminist Formations, 30(3), 217–220.

Walliman, N., & Walliman, N. (2021). Research Methods: The Basics (3rd ed.). Routledge. https://doi.org/10.4324/9781003141693

Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking (Vol. 27). Council of Europe Strasbourg. https://www.firstdraftnews.org/wp-content/uploads/2017/11/PREMS-162317-GBR-2018-Report-de%CC%81sinformation-1.pdf

Yu, X., & Zhao, Y. (2019). Dualism in data protection: Balancing the right to personal data and the data property right. Computer Law & Security Review, 35(5), 105318. https://doi.org/10.1016/j.clsr.2019.04.001

Yuliana, S., & Anita, D. (2026). Pelayanan Publik Digital sebagai Instrumen Peningkatan Kepercayaan Masyarakat terhadap Pemerintah. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(4), 13973–13980. https://doi.org/10.31004/riggs.v4i4.5407

Zeng, J. (2020). Artificial intelligence and China’s authoritarian governance. International Affairs, 96(6), 1441–1459. https://doi.org/10.1093/ia/iiaa172

Pemerintah Republik Indonesia. (2022). Undang-Undang Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi. Lembaran Negara Republik Indonesia Tahun 2022 Nomor 197.

Downloads

Published

2026-05-05