The Enigma Implementation of Predictive Algorithms in Indonesian Legal Perspective

R. Yahdi Ramadani, Steven Liechardo, Audy Danial Wibawanto, Yoga Firdausi

Abstract


Predictive Modeling is a statistical technique that can predict future results with the help of historical data and machine learning tools to see if there is a potential for criminal acts in an area using technology. If the Predictive Algorithm is applied to a system in Indonesia, Indonesia must first consider the mechanism for using the system and the risk impact of the system. This research uses normative juridical research. This study uses several approaches, namely the statutory and conceptual approaches. What needs to be considered if this system is implemented in Indonesia is that there is currently no law on personal data, so there are still norms in the regulation of personal data, incomplete regulations regarding Indonesian cyber crime, violations such as the presumption of innocence, and Indonesia must revamp the system. Judiciary in Indonesia, considering there are still areas lacking internet signal. The use of Predictive Algorithms in certain sectors has a good impact. Still, the implementation of Predictive Algorithms in the government sector, especially the Criminal Justice System, violates the human rights of the suspects or suspects related; before the performance of the Predictive Algorithm system, Indonesia must prepare a special law with Personal Data and Reform of the Justice System in Indonesia.


Keywords


Law and Technology, Predictive Algorithm, presumption of innocence’s principle, Justice System

References


Association, I. R. M. (2019). Cyber Law, Privacy, and Security: Concepts, Methodologies, Tools, and Applications (1st ed.). Pennsylvania: IGI Global.

Bex, F., & Prakken, H. (2021). On the relevance of algorithmic decision predictors for judicial decision making. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law, 175–179. New York, NY, USA: ACM. https://doi.org/10.1145/3462757.3466069

Burdon, M. (2020). Digital Data Collection and Information Privacy Law. New York: Cambridge University Press.

Disantara, F. P., Naftali, S. A., Putra, R. Y. A., Irmayati, D., & Rahmawati, G. (2022). Enigma Pemberantasan Korupsi di Masa Pandemi COVID-19. JURNAL USM LAW REVIEW, 5(1), 61–79. https://doi.org/http://dx.doi.org/10.26623/julr.v5i1.4135

Geddes, K. (2022). The Death of the Legal Subject: How Predictive Algorithms Are (Re)constructing Legal Subjectivity. 2022 ACM Conference on Fairness, Accountability, and Transparency, 691–701. New York, NY, USA: ACM. https://doi.org/10.1145/3531146.3533134

Hiller, K. (2021). Predictive Policing and the Charter. Manitoba Law Journal Robson Crim, 44(6), 224–245.

Hobson, Z., Yesberg, J. A., Bradford, B., & Jackson, J. (2021). Artificial fairness? Trust in algorithmic police decision-making. Journal of Experimental Criminology, 12, 1–25. https://doi.org/10.1007/s11292-021-09484-9

Laptev, V., & Fedin, V. (2020). Legal Awareness in a Digital Society. Russian Law Journal, 8(1), 138–157. https://doi.org/10.17589/2309-8678-2020-8-1-138-157

Maldonato, L. (2019). Algoritmi Predittivi e Discrezionalità del Giudice: una nuova sfida per la Giustizia Penale. DIRITTO PENALE CONTEMPORANEO, 2(1), 401–414.

Marzuki, P. M. (2017). Pengantar Ilmu Hukum (10th ed.). Jakarta: Kencana.

Ramli, A. M., Permata, R. R., Mayana, R. F., Ramli, T. S., & Lestari, M. A. (2021). Pelindungan Kekayaan Intelektual dalam Pemanfaatan Teknologi Informasi di Saat Covid-19. Jurnal Penelitian Hukum De Jure, 21(1), 45. https://doi.org/10.30641/dejure.2021.V21.45-58

Rona-Tas, A. (2020). Predicting the Future: Art and Algorithms. Socio-Economic Review, 18(3), 893–911. https://doi.org/10.1093/ser/mwaa040

Rouvière, F. (2021). La Justice Prédictive : Peut-on réduire le droit en Algorithmes ? Pouvoirs, N° 178(3), 97–107. https://doi.org/10.3917/pouv.178.0097

Schjolberg, S. (2020). The History of Cybercrime (Third). Norderstedt: BoD – Books on Demand.

Shaikh, R. A., Sahu, T. P., & Anand, V. (2020). Predicting Outcomes of Legal Cases based on Legal Factors using Classifiers. Procedia Computer Science, 167, 2393–2402. https://doi.org/10.1016/j.procs.2020.03.292

Smith, B. W. (2020). New Technologies and Old Treaties. AJIL Unbound, 114, 152–157. https://doi.org/10.1017/aju.2020.28

Turner, J. I. (2019). Managing Digital Discovery in Criminal Cases. Journal of Criminal Law and Criminology, 109(2), 237–310.

Ugwudike, P. (2022). Predictive Algorithms in Justice Systems and the Limits of Tech-Reformism. International Journal for Crime, Justice and Social Democracy, 11(1), 85–99. https://doi.org/10.5204/ijcjsd.2189

Završnik, A. (2021). Algorithmic justice: Algorithms and big data in criminal justice settings. European Journal of Criminology, 18(5), 623–642. https://doi.org/10.1177/1477370819876762




DOI: https://doi.org/10.24815/sklj.v6i3.27870

Article Metrics

Abstract view : 0 times


Copyright (c) 2023 Syiah Kuala Law Journal

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

 

Creative Commons License

Syiah Kuala Law Journal published by Magister Ilmu Hukum Fakultas Hukum Universitas Syiah Kuala is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at http://jurnal.usk.ac.id/SKLJ.