Measuring Judicial Accountability in the Algorithmic Era: Juridical Implications of Using Judicial Assistants and Black Box Risks in Constructing Judgment Arguments

  • Asbudi Dwi Saputra Universitas Hasanuddin, Indonesia
  • Hartono Tasir Irwanto Universitas Hasanuddin, Indonesia
  • Nurisnah Nurisnah Universitas Hasanuddin, Indonesia

Abstract

Although the Supreme Court of the Republic of Indonesia has adopted Artificial Intelligence technology for administrative functions, the potential use of Artificial Intelligence as a Judicial Assistant in drafting judgment arguments triggers serious dogmatic concerns. These concerns relate to the degradation of human legal reasoning amidst a national legal vacuum (rechtsvacuüm). This study aims to deconstruct the concept of judicial accountability, which fails to address algorithmic error. Furthermore, this study tests the validity of Black Box-based rulings vis-à-vis the principle of reasoned decision in Law Number 8 of 1981, and formulates a preventive regulatory model. Utilizing a normative-juridical research method and a comparative law approach regarding regulatory frameworks in the European Union, the United States, and China, this study finds that conventional legal doctrines face a liability gap due to the unforeseeable autonomous behavior of Artificial Intelligence. The analysis indicates that reliance on algorithms with opaque characteristics—as demonstrated by the COMPAS case in the United States—fundamentally violates the defendant’s right to explanation. This potentially triggers “the death of standards.” In this condition, judicial discretion is replaced by the rigidity of machine micro-directives. Furthermore, the practice of relinquishment by judges for the sake of administrative efficiency threatens independence and judicial wisdom. This study concludes the urgency of adopting a hybrid regulatory model integrating technical efficiency with the strict User Control principle from the European Ethical Charter. This serves to ensure technology remains a human-supervised servant of justice, not a master dictating rulings.

Keywords: Artificial Intelligence, Black Box, Judicial Accountability, Judicial Wisdom, Reasoned Decision

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References

The 1945 Constitution of the Republic of Indonesia. https://www.dpr.go.id/dokumen/jdih/undang-undang-dasar

Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016, May 23). Machine Bias: There’s Software Used across the Country to Predict Future Criminals. And it’s biased against Blacks. ProPublica. Retrieved September 9, 2025, from https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

Casey, A. J., & Niblett, A. (2017). The Death of Rules and Standards. Indiana Law Journal, 92(4), 1401-1447. Retrieved from https://www.repository.law.indiana.edu/ilj/vol92/iss4/3

Decree of the Chief Justice of the Supreme Court of the Republic of Indonesia Number 359/KMA/SK/XII/2022 on Templates and Guidelines for Drafting Decisions/Determinations of First-Instance and Appellate Courts within the Four Judicial Environments under the Supreme Court. https://jdih.mahkamahagung.go.id/legal-product/sk-kma-nomor-359kmaskxii2022/detail

Drakokhrust, T., & Martsenko, N. (2022). Artificial Intelligence in the Modern Judicial System. Journal of Modern Educational Research, 1, 1-7. https://www.doi.org/10.53964/jmer.2022005

European Commission for the Efficiency of Justice. (2018, December 3-4). European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and Their Environment (Adopted at the 31st Plenary Meeting of the CEPEJ). Council of Europe. https://rm.coe.int/ethical-charter-en-for-publication-4-december-2018/16808f699c

Fagan, F., & Levmore, S. (2019). The Impact of Artificial Intelligence on Rules, Standards, and Judicial Discretion. Southern California Law Review, 93(1), 1-35. Retrieved from https://southerncalifornialawreview.com/wp-content/uploads/2020/01/93_1_Levmore.pdf

Fine, A., & Marsh, S. (2024). Judicial Leadership Matters (Yet Again): The Association between Judge and Public Trust for Artificial Intelligence in Courts. Discover Artificial Intelligence, 4(1), 1-18. https://doi.org/10.1007/s44163-024-00142-3

Getman, A. P., Yaroshenko, O. M., Shapoval, R. V., Prokopiev, R. Y., & Demura, M. I. (2023). The Impact of Artificial Intelligence on Legal Decision-Making. International Comparative Jurisprudence, 9(2), 155-169. https://doi.org/10.13165/j.icj.2023.12.001

Goodman, B., & Flaxman, S. (2017). European Union Regulations on Algorithmic Decision-Making and a “Right to Explanation”. AI Magazine, 38(3), 50-57. https://doi.org/10.1609/aimag.v38i3.2741

Irwansyah. (2020). Penelitian Hukum: Pilihan Metode & Praktik Penulisan Artikel. Mirra Buana Media.

Karnow, C. E. A. (2016). The Application of Traditional Tort Theory to Embodied Machine Intelligence. In R. Calo et al. (Eds.), Robot Law (pp. 51-77). Edward Elgar Publishing. https://doi.org/10.4337/9781783476732.00010

Kiliç, M. (2021). Ethical-Juridical Inquiry Regarding the Effect of Artificial Intelligence Applications on Legal Profession and Legal Practices. John Marshall Law Journal, 14(2), 202-226. https://www.johnmarshall.edu/lawreview/wp-content/uploads/2021-AJMLS-Spring-Journal-XIV2-Muharrem-Kilic.pdf

Kurniawan, K. S., & Kurniawan, I. G. A. (2025). The Limitations of Lex Generalis: Analyzing the Readiness of the GDPR and PDP Law for AI-Based Facial Recognition Technology. SIGn Jurnal Hukum, 7(2), 838-852. https://doi.org/10.37276/sjh.v7i2.533

Kurum, S. (2024). Artificial Intelligence in Judicial Decision-Making: Opportunities, Challenges, and Ethical Boundaries. Global Insights Journal, 4(1), 11-22. Retrieved from https://globalinsightsjournal.com/gij/index.php/journal/article/view/67

Law of the Republic of Indonesia Number 8 of 1981 on the Code of Criminal Procedure (State Gazette of the Republic of Indonesia of 1981 Number 76, Supplement to the State Gazette of the Republic of Indonesia Number 3209). https://www.dpr.go.id/dokumen/jdih/undang-undang/detail/755

Law of the Republic of Indonesia Number 48 of 2009 on the Judicial Power (State Gazette of the Republic of Indonesia of 2009 Number 157, Supplement to the State Gazette of the Republic of Indonesia Number 5076). https://www.dpr.go.id/dokumen/jdih/undang-undang/detail/585

Lupo, G. (2019). Regulating (Artificial) Intelligence in Justice: How Normative Frameworks Protect Citizens from the Risks Related to AI Use in the Judiciary. European Quarterly of Political Attitudes and Mentalities, 8(2), 75-96. Retrieved from https://www.ssoar.info/ssoar/handle/document/62463

Millar, J., & Kerr, I. (2016). Delegation, Relinquishment, and Responsibility: The Prospect of Expert Robots. In R. Calo et al. (Eds.), Robot Law (pp. 102-128). Edward Elgar Publishing. https://doi.org/10.4337/9781783476732.00012

Qamar, N., & Rezah, F. S. (2020). Metode Penelitian Hukum: Doktrinal dan Non-Doktrinal. CV. Social Politic Genius (SIGn). https://books.google.co.id/books?id=TAQHEAAAQBAJ

Rezah, F. S., & Sapada, A. T. (2023). The Independence and Accountability of the Constitutional Court in the Constitutional System in Indonesia. SIGn Jurnal Hukum, 4(2), 247-260. https://doi.org/10.37276/sjh.v4i2.166

Sampara, S., & Husen, L. O. (2016). Metode Penelitian Hukum. Kretakupa Print.

Simamora, S., Pakpahan, Z. A., & Toni, T. (2024). Judicial Review of Pretrial Rulings: A Critical Analysis of Their Authority and Influence. SIGn Jurnal Hukum, 6(2), 40-51. https://doi.org/10.37276/sjh.v6i2.367

Sourdin, T. (2018). Judge v Robot? Artificial Intelligence and Judicial Decision-Making. UNSW Law Journal, 41(4), 1114-1133. Retrieved from https://www.unsw.edu.au/content/dam/pdfs/law/unsw-law-journal/2010-2019/Vol-No-41-4-Sourdin.pdf

Suhartono, A., & Panjaitan, H. (2025). Normative Reconstruction of Asset Forfeiture: A Legal Pathway Following Demise of Corruption Suspects. SIGn Jurnal Hukum, 7(2), 682-707. https://doi.org/10.37276/sjh.v7i2.511

Sutopo, R. B. P., & Panjaitan, H. (2025). A Juridical Demarcation: Reconstructing the Proof of Mens Rea to Differentiate Policy and Corruption by Public Officials. SIGn Jurnal Hukum, 7(2), 765-784. https://doi.org/10.37276/sjh.v7i2.525

Wibowo, A. M. (2025). The Future of Copyright Protection for AI-Generated Art: Lessons from the Ghiblification Phenomenon. SIGn Journal of Social Science, 6(1), 1-27. https://doi.org/10.37276/sjss.v6i1.436

Xu, Z. (2022). 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

Published
2025-12-12
How to Cite
Saputra, A. D., Irwanto, H. T., & Nurisnah, N. (2025). Measuring Judicial Accountability in the Algorithmic Era: Juridical Implications of Using Judicial Assistants and Black Box Risks in Constructing Judgment Arguments. SIGn Jurnal Hukum, 7(2), 958-973. https://doi.org/10.37276/sjh.v7i2.570

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