Kekosongan Regulasi Artificial Intelligence dalam Pembuktian Pidana dan Asas Praduga Tak Bersalah
DOI:
https://doi.org/10.56393/rhizome.v5i2.4148Keywords:
Artificial Intelligence, Pembuktian Pidana, Regulasi, Asas Praduga Tak BersalahAbstract
Pemanfaatan kecerdasan buatan (Artificial Intelligence/AI) dalam pembuktian perkara pidana, seperti analisis bukti digital, pengenalan wajah, dan pemodelan pola kejahatan, semakin memengaruhi praktik penegakan hukum. Namun, dalam sistem hukum Indonesia, penggunaan AI berlangsung di tengah kekosongan pengaturan normatif yang mengatur mekanisme penilaian dan pengujian hasil kerja algoritma dalam persidangan pidana. Kondisi ini menimbulkan persoalan mendasar terhadap perlindungan asas praduga tak bersalah, terutama ketika output AI diperlakukan sebagai kebenaran objektif tanpa pengujian yuridis yang memadai. Artikel ini menganalisis kekosongan regulasi penggunaan AI dalam pembuktian pidana di Indonesia serta implikasinya terhadap hak-hak tersangka dan terdakwa. Berbeda dari kajian global yang umumnya menitikberatkan pada akuntabilitas algoritmik dari perspektif teknis atau perlindungan data, penelitian ini menawarkan pendekatan normatif-yuridis dengan menempatkan hakim sebagai aktor kunci dalam menilai legitimasi penggunaan AI dalam pembuktian pidana. Melalui pendekatan hukum normatif, artikel ini merumuskan kerangka evaluatif bagi pembentukan regulasi nasional yang menegaskan transparansi algoritmik, akuntabilitas, dan pengawasan manusia, guna memastikan tegaknya asas praduga tak bersalah dan prinsip due process of law.
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References
Andriati, R., Prabowo, H., & Santoso, T. (2024). Artificial intelligence and evidentiary challenges in criminal justice systems. International Journal of Law and Information Technology, 32(2), 145–168. https://doi.org/10.1093/ijlit/eaad012
Ashley, K. D. (2021). Artificial intelligence and legal analytics: New tools for law practice in the digital age. Cambridge University Press. https://doi.org/10.1017/9781108766404
Baig, M. I. (2025). Algorithmic governance and criminal justice accountability. Computer Law & Security Review, 50, Article 105829. https://doi.org/10.1016/j.clsr.2024.105829
Barocas, S., & Selbst, A. D. (2016). Big data’s disparate impact. California Law Review, 104(3), 671–732. https://doi.org/10.15779/Z38BG31
Benjamin, R. (2022). Race after technology: Abolitionist tools for the new Jim code (2nd ed.). Polity Press.
Bennett Moses, L., & Chan, J. (2018). Algorithmic prediction in policing: Assumptions, evaluation, and accountability. Policing and Society, 28(7), 806–822. https://doi.org/10.1080/10439463.2016.1253695
Bharati, P. (2024). Automation bias in AI-assisted legal decision-making. AI and Ethics, 4(1), 95–108. https://doi.org/10.1007/s43681-023-00345-9
Binns, R. (2022). Human judgment in algorithmic loops: Individual justice and automated decision-making. Regulation & Governance, 16(1), 203–223. https://doi.org/10.1111/rego.12358
Burrell, J. (2016). How the machine “thinks”: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), Article 2053951715622512. https://doi.org/10.1177/2053951715622512
Casey, A. J., & Niblett, A. (2023). The death of rules and standards. Indiana Law Journal, 98(4), 1401–1460.
Casey, E. (2019). Foundations of digital evidence. Digital Investigation, 30, 12–21. https://doi.org/10.1016/j.diin.2019.04.001
Citron, D. K., & Pasquale, F. (2014). The scored society: Due process for automated predictions. Washington Law Review, 89(1), 1–33. https://doi.org/10.2139/ssrn.2376209
Council of Europe. (2022). Ethical charter on the use of artificial intelligence in judicial systems. Council of Europe Publishing.
Cummings, M. L. (2017). Automation bias in intelligent time-critical decision support systems. AIAA Journal, 55(1), 1–8. https://doi.org/10.2514/1.J054524
Damaska, M. (1997). Evidence law adrift. Yale Law Journal, 107(2), 595–602. https://doi.org/10.2307/797343
Dewi, S. R., & Muslem, M. (2025). Legal recognition of AI-generated evidence in Indonesian criminal procedure. Hasanuddin Law Review, 11(1), 22–39. https://doi.org/10.20956/halrev.v11i1.4827
Garvie, C., Frankle, J., & Bedoya, A. (2020). The perpetual line-up: Unregulated police face recognition in America. Georgetown Law Center on Privacy & Technology.
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
Hidayat, A., & Muis, A. (2025). Legal culture and technological evidence in Indonesian criminal justice. Jurnal Hukum IUS QUIA IUSTUM, 32(1), 87–110. https://doi.org/10.20885/iustum.vol32.iss1.art5
International Covenant on Civil and Political Rights. (1966). United Nations.
Iwannudin, M., Raharjo, A., & Prasetyo, T. (2025). Accountability gaps in AI-assisted law enforcement. Journal of Law, Technology & Policy, 2025(1), 61–82. https://doi.org/10.2139/ssrn.4678234
Jackson, J. D., & Summers, S. J. (2021). The internationalisation of criminal evidence: Beyond the common law and civil law traditions. Cambridge University Press. https://doi.org/10.1017/9781108773846
Jayadi, R., & Rais, N. S. (2025). Automation bias and judicial discretion in criminal adjudication. International Journal of Law and Society, 8(2), 134–149. https://doi.org/10.11648/j.ijls.20250802.14
Kroll, J. A., Huey, J., Barocas, S., Felten, E. W., Reidenberg, J. R., Robinson, D. G., & Yu, H. (2017). Accountable algorithms. University of Pennsylvania Law Review, 165(3), 633–705. https://doi.org/10.2139/ssrn.2765268
Lexi, A. (2025). Explainability obligations in AI-supported criminal proceedings. Artificial Intelligence and Law, 33(1), 1–25. https://doi.org/10.1007/s10506-024-09377-1
Parasuraman, R., & Manzey, D. H. (2022). Complacency and bias in human use of automation. Human Factors, 64(5), 745–763. https://doi.org/10.1177/00187208211052508
Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press.
Purwanto, E., Nugroho, A., & Lestari, S. (2025). Regulating AI evidence in Indonesian criminal justice reform. Journal of Legal, Ethical and Regulatory Issues, 28(2), 1–13. https://doi.org/10.2139/ssrn.4721986
Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2022). Fairness and abstraction in sociotechnical systems. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (pp. 59–68). https://doi.org/10.1145/3287560.3287598
Siraj, M., Hasan, R., & Kurniawan, A. (2025). Legal liability for algorithmic errors in criminal justice systems. Computer Law Review International, 26(1), 1–10. https://doi.org/10.9785/cri-2025-260102
Sumardiana, B., Fitriani, L., & Mahendra, R. (2024). Digital evidence reliability and AI systems in criminal proceedings. Digital Evidence and Electronic Signature Law Review, 21, 45–63. https://doi.org/10.14296/deeslr.v21i0.5543
Surden, H., & Williams, M. A. (2023). Technological opacity, predictability, and self-driving cars. Harvard Journal of Law & Technology, 36(1), 1–45.
Talukder, A., & Shompa, S. S. (2024). Artificial intelligence applications in criminal investigation: Risks and safeguards. IEEE Access, 12, 15541–15553. https://doi.org/10.1109/ACCESS.2024.3345127
Tertibi, M. (2024). Human oversight requirements under the EU Artificial Intelligence Act. European Journal of Law and Technology, 15(1), 1–20. https://doi.org/10.2139/ssrn.4612398
Undang-Undang Nomor 11 Tahun 2008 tentang Informasi dan Transaksi Elektronik.
Undang-Undang Nomor 19 Tahun 2016 tentang Perubahan atas Undang-Undang Nomor 11 Tahun 2008 tentang Informasi dan Transaksi Elektronik.
Undang-Undang Nomor 39 Tahun 1999 tentang Hak Asasi Manusia.
Undang-Undang Nomor 48 Tahun 2009 tentang Kekuasaan Kehakiman.
Undang-Undang Nomor 8 Tahun 1981 tentang Hukum Acara Pidana (KUHAP).
Uni Eropa. (2024). Artificial Intelligence Act. Official Journal of the European Union.
Wagner, B. (2023). Liability and accountability for AI systems. International Data Privacy Law, 13(4), 291–304. https://doi.org/10.1093/idpl/ipad017
Wischmeyer, T., & Rademacher, T. (2020). Regulating artificial intelligence. German Law Journal, 21(4), 615–638. https://doi.org/10.1017/glj.2020.36
Yeung, K. (2023). Algorithmic regulation: A critical interrogation. Regulation & Governance, 17(2), 505–523. https://doi.org/10.1111/rego.12445
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