The Criminal Liability Of Hinotori: The Japanese Surgical Robotic Doctor
Abstract
The rapid development of artificial intelligence (AI) and the medical robot industry offers transformative opportunities to enhance healthcare quality. Approved for production and marketing in August 2020, the Hinotori Surgical Robotic Doctor, designed for laparoscopic surgery, has become a prominent tool in robot-assisted procedures. However, the integration of robots into surgical practices introduces the risk of patient harm, raising critical questions about criminal liability. Unlike general discussions on AI responsibility, this study specifically focuses on the criminal liability of the Hinotori Surgical Robotic Doctor within the framework of causality principles and intent, eventual intent, negligence, conscious negligence, and absence of fault by evaluating the legal status and responsibility of the involved actors. The study first examines whether Hinotori Surgical Robotic Doctor can be granted legal personality. If not, criminal liability must be attributed to other actors under general criminal law principles. Subsequent sections explore the responsibilities of the software programmer, manufacturer, and healthcare providers (surgeons and hospitals). This study contributes to the literature by presenting a multi-dimensional legal analysis, offering recommendations for future legislation, and addressing a significant gap by focusing directly on the Hinotori Surgical Robotic Doctor’s liability, rather than AI in general.
Keywords
References
- Abdelaziz, D. K. A. (2025). Criminal liability for the misuse and crimes committed by AI: A comparative analysis of legislation and international conventions. Journal of Infrastructure, Policy and Development, 9. google scholar
- Akbaba, T. (2021). Türk Ceza Hukukunda Nedensellik Bağı. (Yüksek Lisans Tezi). İstanbul Ticaret Üniversitesi. google scholar
- Alemzadeh, H., Raman, J., Leveson, N., Kalbarczyk, Z., & Iyer, R. K. (2016). Adverse events in robotic surgery: A retrospective study of 14 years of FDA data. PLOS ONE, 11(4), e0151470. doi: 10.1371/journal.pone.0151470. google scholar
- Alghrani, A., Rehman, U., Sarwar, M. S., & Brennan, P. A. (2024). Balancing the scales of safety: The criminal law’s impact on patient safety and error reduction. British Journal of Oral and Maxillofacial Surgery, 62(3), 229–232. doi: 10.1016/j.bjoms.2023.11.018. google scholar
- Bal, E. N., & Sarıbey, A. Y. (2025). Artificial intelligence in forensic science: Applications, legal framework and criminal liability regime. In 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (pp. 1–7). IEEE. doi: 10.1109/ACDSA65407.2025.11165965. google scholar
- Beale, S. S. (2005). The many faces of overcriminalization: From morals and mattress tags to overfederalization. American University Law Review, 54, 747–780. google scholar
- Beard, T. R., Ford, G. S., Koutsky, T. M., & Spiwak, L. J. (2009). Tort liability for software developers: A law & economics perspective. John Marshall Journal of Computer & Information Law, 27(2), 199–234. google scholar
- Boğa, B. (2024). Olası kast–bilinçli taksir ayrımının teorik temelleri (Doktora tezi). Ankara Hacı Bayram Veli Üniversitesi, Lisansüstü Eğitim Enstitüsü, Kamu Hukuku Ana Bilim Dalı, Ceza ve Ceza Muhakemesi Hukuku Bilim Dalı. google scholar
Details
Primary Language
English
Subjects
Courts and Sentencing, Criminology (Other)
Journal Section
Research Article
Publication Date
June 30, 2026
Submission Date
June 13, 2025
Acceptance Date
March 27, 2026
Published in Issue
Year 2026 Volume: 14 Number: 1