Human Rights Implications of Artificial Intelligence Use in the Indonesian Judicial Process

Authors

  • Adhika Mahindra Satya Airlangga University, Surabaya, Indonesia
  • Kenneth Kenneth Airlangga University, Surabaya, Indonesia
  • Syahban Alvian Hamonangan Harianja Airlangga University, Surabaya, Indonesia
  • Rivaldo William Krisma Waruwu Airlangga University, Surabaya, Indonesia

DOI:

https://doi.org/10.35335/legal.v14i6.1550

Keywords:

Algorithmic Bias Mitigation, Cybersecurity, Due Process of Law, Human Rights, Judicial Artificial Intelligence

Abstract

The integration of artificial intelligence into justice systems offers efficiency and access gains, but raises human rights and constitutional concerns. In Indonesia, judicial institutions have begun piloting AI-supported tools for court administration and limited decision support across civil and criminal cases, yet adjudication remains fully human. The absence of a tailored governance framework poses risks to the rule of law, judicial independence, and equality before the law. This study analyses normative weaknesses in Indonesia’s regulation of judicial AI and formulates a rights-based governance model. The method used is normative legal research employing statutory and conceptual approaches based on secondary legal materials. The results show that unclear boundaries around AI functions can turn decision-support outputs into de facto determinants of procedural direction, weakening fair-trial guarantees when parties cannot know, challenge, or obtain human review. The findings further indicate that governance must mandate human-in-the-loop control, transparency, and contestability, alongside cybersecurity, operational reliability, audit logging, and bias mitigation. Inclusive access requires hybrid service channels, so digitalisation does not exclude communities in areas with limited infrastructure. The conclusion is that Indonesia should strengthen rights-based governance so that AI improves efficiency without eroding constitutional guarantees and the legitimacy of the rule of law

Downloads

Download data is not yet available.

References

Acemoglu, D., & Wolitzky, A. (2021). A Theory of Equality Before the Law. The Economic Journal, 131(636), 1429–1465. https://doi.org/10.1093/ej/ueaa116

Afgha Okza Eriranda, Fajar Rahmad.S, & Eny Kusdarini. (2024). Makna Welfare State Ditinjau dari Implementasi Pasal 34 Ayat (1) Undang-Undang Dasar 1945. Jurnal Hukum IUS QUIA IUSTUM, 31(3), 560–584. https://doi.org/10.20885/iustum.vol31.iss3.art4

Alvarez, J. M., Colmenarejo, A. B., Elobaid, A., Fabbrizzi, S., Fahimi, M., Ferrara, A., Ghodsi, S., Mougan, C., Papageorgiou, I., Reyero, P., Russo, M., Scott, K. M., State, L., Zhao, X., & Ruggieri, S. (2024). Policy Advice and Best Practices on Bias and Fairness in AI. Ethics and Information Technology, 26(2), 1–26. https://doi.org/10.1007/s10676-024-09746-w

Andriawan, W. (2022). Pancasila Perspective on the Development of Legal Philosophy: Relation of Justice and Progressive Law. Volksgeist: Jurnal Ilmu Hukum Dan Konstitusi, 5(1), 1–11. https://doi.org/10.24090/volksgeist.v5i1.6361

Bernardo, B. M. V., Mamede, H. S., Barroso, J. M. P., & Dos Santos, V. M. P. D. (2024). Data Governance & Quality Management—Innovation and Breakthroughs Across Different Fields. Journal of Innovation & Knowledge, 9(4), 1–35. https://doi.org/10.1016/j.jik.2024.100598

Bharati, R. K. (2024). Ethical Implications of AI in Criminal Justice: Balancing Efficiency and Due Process. RESEARCH REVIEW International Journal of Multidisciplinary, 9(7), 93–105. https://doi.org/10.31305/rrijm.2024.v09.n07.014

Borgesano, F., De Maio, A., Laghi, P., & Musmanno, R. (2025). Artificial Intelligence and Justice: A Systematic Literature Review and Future Research Perspectives on Justice 5.0. European Journal of Innovation Management, 28(11), 349–385. https://doi.org/10.1108/EJIM-01-2025-0117

Coppi, G., Moreno Jimenez, R., & Kyriazi, S. (2021). Explicability of Humanitarian AI: A Matter of Principles. Journal of International Humanitarian Action, 6(1), 1–22. https://doi.org/10.1186/s41018-021-00096-6

Dalimunthe, F. Z. (2020). The Comparison of Evidence in State Administrative Court Between Indonesia and South Korea. Jurnal Hukum Dan Peradilan, 9(2), 232–254. https://doi.org/10.25216/jhp.9.2.2020.232-254

Fahmi, A. B., Satya, A. M., Setiyono, J., Wijayantini, B., & Abusaada, H. A. Y. (2025). Crypto Regulation and Anti Money Laundering in Indonesia: A Comparative European Union and Switzerland. Jurnal Pembangunan Hukum Indonesia, 7(3), 514–541. https://doi.org/10.14710/jphi.v7i3.514-541

Ferrara, E. (2023). Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. Sci, 6(1), 1–15. https://doi.org/10.3390/sci6010003

Jada, I., & Mayayise, T. O. (2024). The Impact of Artificial Intelligence on Organisational Cyber Security: An Outcome of a Systematic Literature Review. Data and Information Management, 8(2), 1–15. https://doi.org/10.1016/j.dim.2023.100063

Janssen, H., Seng Ah Lee, M., & Singh, J. (2022). Practical Fundamental Rights Impact Assessments. International Journal of Law and Information Technology, 30(2), 200–232. https://doi.org/10.1093/ijlit/eaac018

Kabata, F., & Thaldar, D. (2024). Human in the Loop Requirement and AI Healthcare Applications in Low-Resource Settings: A Narrative Review. South African Journal of Bioethics and Law, 17(2), 70–73. https://doi.org/10.7196/SAJBL.2024.v17i2.1975

Khalimy, A., Yusriyadi, Y., Setyowati, R., Syahruddin, S., & Wadud, A. M. A. (2023). The Intersection of the Progressive Law Theory and the Self-Declaration Concept of MSEs Halal Certification. Journal of Indonesian Legal Studies, 8(1), 159–198. https://doi.org/10.15294/jils.v8i1.66087

Malatji, M., & Tolah, A. (2025). Artificial Intelligence (AI) Cybersecurity Dimensions: A Comprehensive Framework for Understanding Adversarial and Offensive AI. AI and Ethics, 5(2), 883–910. https://doi.org/10.1007/s43681-024-00427-4

Millière, R. (2025). Normative Conflicts and Shallow AI Alignment. Philosophical Studies, 182(7), 2035–2078. https://doi.org/10.1007/s11098-025-02347-3

Mosqueira-Rey, E., Hernández-Pereira, E., Alonso-Ríos, D., Bobes-Bascarán, J., & Fernández-Leal, Á. (2023). Human-in-the-Loop Machine Learning: A State of the Art. Artificial Intelligence Review, 56(4), 3005–3054. https://doi.org/10.1007/s10462-022-10246-w

Munir, A. I. (2023). Roscoe Pound’s Theories of Interests and Justice: A Critical Appraisal. Pakistan Journal of Law, Analysis and Wisdom in SSRN Electronic Journal, 4(3), 54–62. https://doi.org/10.2139/ssrn.4433213

Nam Trung, N. (2025). Artificial intelligence surveillance and the right to privacy in Vietnam a human security policy. Otoritas?: Jurnal Ilmu Pemerintahan, 15(3), 567–593. https://doi.org/10.26618/ppxc9c11

Osa, D. U. S. de la, & Remolina, N. (2024). Artificial Intelligence at the Bench: Legal and Ethical Challenges of Informing—or Misinforming—Judicial Decision-Making Through Generative AI. Data & Policy, 6, e59. https://doi.org/10.1017/dap.2024.53

Purnomo, H. (2025). Legal Protection for Patients of Online Healthcare Service: Analysis of Risks and Challenges of Healthcare Services in Digital Era. Jurnal Ilmu Kepolisian, 19(3), 1–14. https://doi.org/10.35879/jik.v19i3.688

Purwanda, S., Wiwin, W., Pransisto, J., & Musran, A. (2024). Testing the Omnibus Law Concept in Legal Theory: Evaluating its Effectiveness as a Tool for Social Engineering. Indonesia Private Law Review, 5(1), 11–22. https://doi.org/10.25041/iplr.v5i1.3370

Rai, A. K., Sharma, I., & Silcox, C. (2020). Accountability, Secrecy, and Innovation in AI-Enabled Clinical Decision Software. Journal of Law and the Biosciences, 7(1), 1–26. https://doi.org/10.1093/jlb/lsaa077

Ramos, V. C. (2023). The EPPO and the Equality of Arms Between the Prosecutor and the Defence. New Journal of European Criminal Law, 14(1), 43–70. https://doi.org/10.1177/20322844231157078

Selçuk, S., Kurt Konca, N., & Kaya, S. (2025). AI-Driven Civil Litigation: Navigating the Right to a Fair Trial. Computer Law & Security Review, 57, 1–11. https://doi.org/10.1016/j.clsr.2025.106136

Sidqi, I., Nisa, S. M., & Daini, H. S. (2023). Development of Artificial Intelligence in the Dispute Resolution of Religious Courts. Jurnal Hukum Islam, 21(1), 83–112. https://doi.org/10.28918/jhi_v21i1_04

Teo, S. A. (2025). Artificial Intelligence and its ‘Slow Violence’ to Human Rights. AI and Ethics, 5(3), 2265–2280. https://doi.org/10.1007/s43681-024-00547-x

Vargas-Veleda, Y., Rodríguez-González, M. D. M., & Marauri-Castillo, I. (2025). Visual Representations in AI: A Study on the Most Discriminatory Algorithmic Biases in Image Generation. Journalism and Media, 6(3), 1–15. https://doi.org/10.3390/journalmedia6030110

Verde, L., Marulli, F., & Marrone, S. (2021). Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability. Procedia Computer Science, 192, 2624–2632. https://doi.org/10.1016/j.procs.2021.09.032

Wid?ak, T. (2025a). Techno-Legal Virtues in Hybrid Adjudication: Judicial Excellence in AI-Augmented Courts. Minds and Machines, 36(1), 1–22. https://doi.org/10.1007/s11023-025-09756-7

Wid?ak, T. (2025b). Techno-Legal Virtues in Hybrid Adjudication: Judicial Excellence in AI-Augmented Courts. Minds and Machines, 36(1), 1–22. https://doi.org/10.1007/s11023-025-09756-7

Wu, W., & Lin, X. (2025). Access to Technology, Access to Justice: China’s Artificial Intelligence Application in Criminal Proceedings. International Journal of Law, Crime and Justice, 81, 1–18. https://doi.org/10.1016/j.ijlcj.2025.100741

Xu, Z. (2022a). Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities. Applied Artificial Intelligence, 36(1), 1025–1045. https://doi.org/10.1080/08839514.2021.2013652

Xu, Z. (2022b). The Legitimacy of Artificial Intelligence in Judicial Decision Making: Chinese Experience. International Journal of Technoethics, 13(2), 1–17. https://doi.org/10.4018/IJT.311032

Ye, X., Yan, Y., Li, J., & Jiang, B. (2024). Privacy and Personal Data Risk Governance for Generative Artificial Intelligence: A Chinese Perspective. Telecommunications Policy, 48(10), 1–15. https://doi.org/10.1016/j.telpol.2024.102851

Zeleznikow, J. (2023). The Benefits and Dangers of Using Machine Learning to Support Making Legal Predictions. WIREs Data Mining and Knowledge Discovery, 13(4), 1–21. https://doi.org/10.1002/widm.1505

Downloads

Published

2026-02-02

How to Cite

Satya, A. M., Kenneth, K., Harianja, S. A. H., & Krisma Waruwu, R. W. (2026). Human Rights Implications of Artificial Intelligence Use in the Indonesian Judicial Process. LEGAL BRIEF, 14(6), 1315–1328. https://doi.org/10.35335/legal.v14i6.1550

Issue

Section

Legal and related sciences