The Urgency of Artificial Intelligence Regulation in Indonesia’s Criminal Justice
DOI:
https://doi.org/10.37329/metta.v5i3.4501Keywords:
Artificial Intelligence, Regulation, The Criminal Justice System, Human Rights, TransparencyAbstract
The rapid development of artificial intelligence (AI) in criminal justice systems presents both opportunities and challenges, particularly regarding ethics, transparency, and accountability. This study aims to analyze the urgency of regulating AI in Indonesia’s criminal justice system. Using a normative-analytical approach, the research explores the risks of algorithmic bias, data privacy violations, and the absence of human oversight in legal decision-making. Comparative analysis with AI regulations in the European Union and the United States highlights key regulatory gaps in Indonesia. The findings reveal that without clear and enforceable legal frameworks, AI implementation may worsen legal inequalities and undermine human rights. This study underscores the need for a national legal framework that ensures algorithmic transparency, data protection, and human involvement in AI-driven decisions. The research offers an early contribution to the development of responsible and equitable AI governance in the justice sector.
References
Arfani, R. N., & Ambardi, K. (2024). Transformasi Digital dan Daya Saing Seleksi Kasus. Yogyakarta: UGM Press.
Barlian, A. E. A., Latipulhayat, A., Rusmiati, E., Wulandari, W., & Sukma, A. N. A. (2025). Electronic Criminal Justice in Indonesia: Challenges and the Future Measures. Jambura Law Review, 7(1), 243–274.
Chakraborty, U. (2020). Artificial Intelligence for All: Transforming Every Aspect of Our Life. New Delhi: BPB Publications.
De Almeida, P. G. R., dos Santos, C. D., & Farias, J. S. (2021). Artificial intelligence regulation: a framework for governance. Ethics and Information Technology, 23(3), 505–525.
Dessani, Y., Afrilia, B., & Nelwati, S. (2023). Building Pillars of Justice and Order: Uncovering the Challenges and Solutions of Equitable Law Enforcement in Indonesia. Hakamain: Journal of Sharia and Law Studies, 2(1), 117–128.
Fernando, Z. J., Kristanto, K., Anditya, A. W., Hartati, S. Y., & Baskara, A. (2023). Robot Lawyer in Indonesian Criminal Justice System: Problems and Challenges for Future Law Enforcement. Lex Scientia Law Review, 7(2), 489–528.
Land, M. K., & Aronson, J. D. (2020). Human Rights and Technology: New Challenges for Justice and Accountability. Annual Review of Law and Social Science, 16(1), 223–240.
Mayson, S. G. (2018). Bias in, Bias out. Yale Law Journal, 128, 2218.
McKay, C. (2020). Predicting Risk in Criminal Procedure: Actuarial Tools, Algorithms, AI and Judicial Decision-Making. Current Issues in Criminal Justice, 32(1), 22–39.
Min, A. (2023). Artificial Intelligence And Bias: Challenges, Implications, and Remedies. Journal of Social Research, 2(11).
Pasaribu, M. (2024). Penerapan Kecerdasan Buatan (Artificial Intelligence) Dalam Proses Legislasi dan Sistem Peradilan di Indonesia. Jurnal Hukum Dan Bisnis (Selisik), 10(2), 163–181.
Permana, Y. P., Kom, S., & Kom, M. (2025). Kecerdasan Buatan: Mengubah Dunia dengan Teknologi. Sumedang: Mega Press Nusantara.
Prihatin Effendi, S. H., Ningsih, D. W., Nasichin, M., Abdul Basid, & Yati Vitria, (2024). Reformasi Hukum Pidana Indonesia. Padang: Takaza Innovatix Labs.
Raharjo, B. (2023). Teori Etika Dalam Kecerdasan Buatan (AI). Semarang: Penerbit Yayasan Prima Agus Teknik
Rusydi, M. T. (2025). Pengantar Hukum Teknologi. Yogyakarta: Naga Pustaka.
Scherer, M. U. (2015). Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies. Harvard Journal of Law & Technology, 29, 353.
Silander, D. (2019). The European Commission and Europe 2020: Smart, sustainable and inclusive growth. In Smart, Sustainable and Inclusive Growth. Cheltenham, Britania Raya: Edward Elgar Publishing.
Smuha, N. A., Ahmed-Rengers, E., Harkens, A., Li, W., MacLaren, J., Piselli, R., & Yeung, K. (2021). How the EU can achieve legally trustworthy AI: a response to the European Commission’s proposal for an Artificial Intelligence Act. University of Birmingham
Turner Lee, N. (2018). Detecting Racial Bias in Algorithms and Machine Learning. Journal of Information, Communication and Ethics in Society, 16(3), 252–260.
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