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Abstract

This study aims to examine the construction of criminal liability in cases of medical malpractice involving artificial intelligence and to identify the normative gaps within contemporary health law that hinder effective accountability. It further seeks to formulate a responsive legal framework capable of addressing the challenges posed by the integration of advanced technologies in medical practice. The research employs normative legal methodology using statute and conceptual approaches. The statute approach analyzes existing legal provisions governing healthcare and criminal liability, while the conceptual approach explores doctrinal principles such as fault, negligence, and responsibility in technologically mediated environments. Data are analyzed using a descriptive prescriptive method to both explain current legal conditions and propose normative solutions. The findings reveal that existing legal frameworks remain anthropocentric and are unable to adequately address the distributed nature of responsibility in AI mediated healthcare. The absence of explicit regulations on the use of artificial intelligence creates a normative vacuum, leading to uncertainty in attributing criminal liability among physicians, developers, and healthcare institutions. The study also finds that traditional doctrines such as mens rea and actus reus are increasingly difficult to apply in cases where decision making involves algorithmic systems. As a result, there is a need to reconceptualize criminal responsibility through more adaptive models, including shared responsibility and selective strict liability. This research concludes that legal reform is essential to ensure accountability, legal certainty, and patient protection in the era of digital healthcare. It proposes the development of integrated and forward looking legal frameworks that align technological innovation with fundamental principles of criminal law.

Keywords

Artificial Intelligence Medical Malpractice Criminal Liability Health Law Normative Gap

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How to Cite
Afandy, N., Khalid, H., & Hasyim, S. (2026). Criminal Liability in Artificial Intelligence-Based Medical Malpractice: Normative Voids and Challenges of Modern Health Law. Golden Ratio of Law and Social Policy Review, 6(1), 75–85. https://doi.org/10.52970/grlspr.v6i1.2383
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References

  1. Ali, Z. (2021). Metode penelitian hukum. Sinar Grafika.
  2. Amir, O., Kallinikos, J., & Aaltonen, A. (2021). Artificial intelligence and accountability in healthcare. Journal of Law and Technology, 35(2), 145–167. https://doi.org/10.2139/ssrn.3833437
  3. Arifin, Z. (2022). Reformasi hukum pidana di era digital. Kencana.
  4. Atmasasmita, R. (2019). Sistem peradilan pidana kontemporer. Kencana.
  5. Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of Machine Learning Research, 81, 1–11. https://doi.org/10.48550/arXiv.1712.03586
  6. Burrell, J. (2016). How the machine thinks: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 1–12. https://doi.org/10.1177/2053951715622512
  7. Chazawi, A. (2021). Pelajaran hukum pidana. RajaGrafindo Persada.
  8. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
  9. Gerke, S., Minssen, T., & Cohen, G. (2020). Ethical and legal challenges of artificial intelligence-driven healthcare. Cambridge Quarterly of Healthcare Ethics, 29(4), 1–12. https://doi.org/10.1017/S0963180120000334
  10. Hiariej, E. O. S. (2020). Prinsip prinsip hukum pidana. Cahaya Atma Pustaka.
  11. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., & Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
  12. Kurniawan, D. (2023). Transparansi algoritma dalam sistem kecerdasan buatan. Jurnal Hukum dan Teknologi, 4(1), 55–70. https://doi.org/10.24843/JHT.2023.v04.i01.p04
  13. Lestari, R. (2023). Pendidikan hukum di era kecerdasan buatan. Jurnal Pendidikan Hukum, 8(2), 120–135. https://doi.org/10.23917/jph.v8i2.18234
  14. Mahmud Marzuki, P. (2021). Penelitian hukum. Kencana.
  15. Morley, J., Machado, C. C. V., Burr, C., Cowls, J., Joshi, I., Taddeo, M., & Floridi, L. (2020). The ethics of AI in health care: A mapping review. Social Science & Medicine, 260, 113172. https://doi.org/10.1016/j.socscimed.2020.113172
  16. Nugroho, Y. (2022). Transformasi digital dan hukum di Indonesia. Gadjah Mada University Press.
  17. Pagallo, U. (2013). The laws of robots: Crimes, contracts, and torts. Springer. https://doi.org/10.1007/978-94-007-6564-1
  18. Price, W. N., & Cohen, I. G. (2019). Privacy in the age of medical big data. Nature Medicine, 25(1), 37–43. https://doi.org/10.1038/s41591-018-0272-7
  19. Putri, D. A. (2023). Tanggung jawab hukum dalam penggunaan AI di sektor kesehatan. Jurnal Rechtsvinding, 12(1), 45–60. https://doi.org/10.33331/rechtsvinding.v12i1.1020
  20. Rahardjo, S. (2020). Hukum progresif. Kompas.
  21. Santoso, M. (2021). Prinsip kesalahan dalam hukum pidana. Airlangga University Press.
  22. Sari, N. P. (2023). Regulasi teknologi kesehatan berbasis AI di Indonesia. Jurnal Legislasi Indonesia, 20(1), 89–104. https://doi.org/10.54629/jli.v20i1.789
  23. Setiawan, B. (2022). Harmonisasi hukum teknologi dan kesehatan. Refika Aditama.
  24. Sidharta, B. A. (2022). Refleksi tentang struktur ilmu hukum. Mandar Maju.
  25. Suteki, & Taufani, G. (2020). Metodologi penelitian hukum. RajaGrafindo Persada.
  26. Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
  27. Widodo, E. (2023). Regulasi kecerdasan buatan dalam sistem hukum Indonesia. Jurnal Rechtsvinding, 12(2), 201–215. https://doi.org/10.33331/rechtsvinding.v12i2.1102
  28. Yusuf, M. (2022). Adaptive governance dalam hukum modern. Sinar Grafika.