The Effectiveness of Artificial Intelligence in Judicial Decision-Making in Indonesia
DOI:
https://doi.org/10.51903/hakim.v3i1.2298Keywords:
Artificial Intelligence in Judiciary, Judicial Decision-Making , Legal Technology Regulation , Algorithmic Bias in Law , Judicial System EfficiencyAbstract
The advancement of artificial intelligence (AI) technology has brought significant transformations across various sectors, including the judicial system. Countries such as China and the United States have adopted AI in legal decision-making, whereas Indonesia remains in the early stages of implementing this technology. While AI has the potential to enhance judicial efficiency, challenges related to regulation, transparency, and algorithmic bias raise concerns regarding the accuracy and fairness of legal rulings. Therefore, this study aims to analyze the effectiveness of AI utilization in Indonesia’s judicial system, identify key challenges, and propose policy recommendations. This research employs both normative and empirical approaches by examining AI-related regulations and conducting interviews with judges and technology experts in Indonesia. The findings indicate that 65% of judges in Indonesia remain skeptical about AI's role in legal decision-making. In contrast, in countries like China, AI adoption in the judiciary has improved case resolution efficiency by 30–40%. Additionally, a public survey reveals that while 55% of respondents believe AI can enhance the objectivity of legal rulings, 45% remain concerned about potential algorithmic bias. Furthermore, the study highlights that Indonesia lacks specific regulations governing AI in the legal system, which may hinder the widespread adoption of this technology. This research contributes to understanding the readiness of Indonesia’s judicial system in integrating AI and emphasizes the necessity of clear regulations and robust oversight mechanisms to ensure transparency and accountability. The findings are expected to serve as a foundation for policymakers in formulating comprehensive regulations to optimize AI implementation in the Indonesian judicial system
References
Adler, R. F., Paley, A., Li Zhao, A. L., Pack, H., Servantez, S., Pah, A. R., Hammond, K., & Consortium, S. O. (2023). A User-Centered Approach to Developing An Ai System Analyzing U.S. Federal Court Data. Artificial Intelligence and Law, 31(3), 547–570. https://doi.org/10.1007/s10506-022-09320-z
Alcántara Francia, O. A., Nunez-del-Prado, M., & Alatrista-Salas, H. (2022). Survey of Text Mining Techniques Applied to Judicial Decisions Prediction. Applied Sciences (Switzerland), 12(20), 10200. https://doi.org/10.3390/app122010200
Blount, K. (2024). Using Artificial Intelligence to Prevent Crime: Implications for Due Process and Criminal Justice. AI and Society, 39(1), 359–368. https://doi.org/10.1007/s00146-022-01513-z
Brożek, B., Furman, M., Jakubiec, M., & Kucharzyk, B. (2024). The Black Box Problem Revisited. Real and Imaginary Challenges for Automated Legal Decision Making. Artificial Intelligence and Law, 32(2), 427–440. https://doi.org/10.1007/s10506-023-09356-9
Bui, T. H., & Nguyen, V. P. (2023). The Impact of Artificial Intelligence and Digital Economy on Vietnam’s Legal System. International Journal for the Semiotics of Law, 36(2), 969–989. https://doi.org/10.1007/s11196-022-09927-0
Carnat, I. (2024). Addressing the Risks of Generative AI for The Judiciary: The Accountability Framework(s) Under the EU AI Act. Computer Law & Security Review, 55, 106067. https://doi.org/10.1016/j.clsr.2024.106067
Čartolovni, A., Tomičić, A., & Lazić Mosler, E. (2022). Ethical, Legal, and Social Considerations of AI-Based Medical Decision-Support Tools: A Scoping Review. International Journal of Medical Informatics, 161, 104738. https://doi.org/10.1016/j.ijmedinf.2022.104738
Collenette, J., Atkinson, K., & Bench-Capon, T. (2023). Explainable AI Tools for Legal Reasoning About Cases: A Study on the European Court of Human Rights. Artificial Intelligence, 317, 103861. https://doi.org/10.1016/j.artint.2023.103861
De Bruijn, H., Warnier, M., & Janssen, M. (2022). The Perils and Pitfalls of Explainable AI: Strategies for Explaining Algorithmic Decision-Making. Government Information Quarterly, 39(2), 101666. https://doi.org/10.1016/j.giq.2021.101666
De Sousa, W. G., Fidelis, R. A., de Souza Bermejo, P. H., da Silva Gonçalo, A. G., & de Souza Melo, B. (2022). Artificial Intelligence and Speedy Trial in the Judiciary: Myth, Reality or Need? A Case Study in the Brazilian Supreme Court (STF). Government Information Quarterly, 39(1), 101660. https://doi.org/10.1016/j.giq.2021.101660
Farayola, M. M., Tal, I., Connolly, R., Saber, T., & Bendechache, M. (2023). Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review. Information (Switzerland), 14(8), 1–25. https://doi.org/10.3390/info14080426
Fernando, Z. J., Kristanto, K., Anditya, A. W., Hartati, S. Y., Baskara, A., & Bay, M. (2023). Robot Lawyer in Indonesian Criminal Justice System: Problems and Challenges for Future Law Enforcement. Lex Scientia Law Review, 7(2), 489–528. https://doi.org/10.15294/lesrev.v7i2.69423
Fountain, J. E. (2022). The Moon, The Ghetto and Artificial Intelligence: Reducing Systemic Racism in Computational Algorithms. Government Information Quarterly, 39(2), 101645. https://doi.org/10.1016/j.giq.2021.101645
Greenstein, S. (2022). Preserving the Rule of Law in the Era of Artificial Intelligence (Ai). In Artificial Intelligence and Law (Vol. 30, Issue 3). Springer Netherlands. https://doi.org/10.1007/s10506-021-09294-4
Habernal, I., Faber, D., Recchia, N., Bretthauer, S., Gurevych, I., Spiecker genannt Döhmann, I., & Burchard, C. (2024). Mining Legal Arguments in Court Decisions. In Artificial Intelligence and Law (Vol. 32, Issue 3). Springer Netherlands. https://doi.org/10.1007/s10506-023-09361-y
Hall, S. W., Sakzad, A., & Choo, K. R. (2022). Explainable Artificial Intelligence for Digital Forensics. WIREs Forensic Science, 4(2), 1–15. https://doi.org/10.1002/wfs2.1434
Han, W., Shen, J., Liu, Y., Shi, Z., Xu, J., Hu, F., Chen, H., Gong, Y., Yu, X., Wang, H., Liu, Z., Yang, Y., Shi, T., & Ge, M. (2024). LegalAsst: Human-Centered and AI-Empowered Machine to Enhance Court Productivity and Legal Assistance. Information Sciences, 679, 121052. https://doi.org/10.1016/j.ins.2024.121052
Limantė, A. (2024). Bias in Facial Recognition Technologies Used by Law Enforcement: Understanding the Causes and Searching for a Way Out. Nordic Journal of Human Rights, 42(2), 115–134. https://doi.org/10.1080/18918131.2023.2277581
Maskanah, U. (2025). Artificial Intelligence in Civil Justice: Comparative Legal Analysis and Practical Frameworks for Indonesia. Jambura Law Review, 7(1), 225–242. https://doi.org/10.33756/jlr.v7i1.27786
Papagianneas, S., & Junius, N. (2023). Fairness and Justice Through Automation in China’s Smart Courts. Computer Law and Security Review, 51, 105897. https://doi.org/10.1016/j.clsr.2023.105897
Pfeiffer, J., Gutschow, J., Haas, C., Möslein, F., Maspfuhl, O., Borgers, F., & Alpsancar, S. (2023). Algorithmic Fairness in AI: An Interdisciplinary View. Business and Information Systems Engineering, 65(2), 209–222. https://doi.org/10.1007/s12599-023-00787-x
Riya, S., Alpana, & Roy, A. (2023). A Review on Applications of Artificial Intelligence Over Indian Legal System. IETE Journal of Research, 69(9), 6029–6038. https://doi.org/10.1080/03772063.2021.1987343
Saragih, A. H., Reyhani, Q., Setyowati, M. S., & Hendrawan, A. (2023). The Potential of an Artificial Intelligence (AI) Application for the Tax Administration System’s Modernization: the Case of Indonesia. Artificial Intelligence and Law, 31(3), 491–514. https://doi.org/10.1007/s10506-022-09321-y
Varona, D., & Suárez, J. L. (2022). Discrimination, Bias, Fairness, and Trustworthy AI. Applied Sciences, 12(12), 5826. https://doi.org/10.3390/app12125826
Villata, S., Araszkiewicz, M., Ashley, K., Bench-Capon, T., Branting, L. K., Conrad, J. G., & Wyner, A. (2022). Thirty Years of Artificial Intelligence and Law: The Third Decade. In Artificial Intelligence and Law (Vol. 30, Issue 4). Springer Netherlands. https://doi.org/10.1007/s10506-022-09327-6
Wang, N., & Tian, M. Y. (2023). “Intelligent Justice”: Human-Centered Considerations in China’s Legal AI Transformation. AI and Ethics, 3(2), 349–354. https://doi.org/10.1007/s43681-022-00202-3
Xu, Z. (2022). Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities. Applied Artificial Intelligence, 36(1), 2013652. https://doi.org/10.1080/08839514.2021.2013652
Zhao, J., & Gómez Fariñas, B. (2023). Artificial Intelligence and Sustainable Decisions. In European Business Organization Law Review (Vol. 24, Issue 1). Springer International Publishing. https://doi.org/10.1007/s40804-022-00262-2
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