Abstract
Objective: This study aims to know Criminal Responsibility for Errors Committed by Medical Robots, where the use of robots in healthcare and medicine has been steadily growing in recent years. Robotic surgical systems, robotic prosthetics, and other assistive robots are being into patient care. However, these autonomous systems also carry risks of errors and adverse events resulting from mechanical failures, software bugs, or other technical issues. When such errors occur and lead to patient harm, it raises complex questions around legal and ethical responsibility Char.
Method: A descriptive analytical method was followed.
Results: Traditional principles of criminal law have not been designed to address the issue of liability for actions committed by artificial intelligence systems and robots. There are open questions around whether autonomous medical robots can or should be held criminally responsible for errors that result in patient injury or death. If criminal charges cannot be brought against the robot itself, legal responsibility could potentially be attributed to manufacturers, operators, hospitals, or software programmers connected to the robot. However, proving causation and intent in such cases can be very difficult.
Conclusions: The prospect of bringing criminal charges against a non-human triggers ethical dilemma. Should autonomous machines have legal personhood? How to weigh patient safety versus promoting innovation in medical technology? This research will analyze the legal and ethical challenges associated with determining criminal responsibility when medical robots cause unintended harm. It has important implications for patient rights, healthcare regulation, technological ethics and the legal status of intelligent machines.
Publisher
South Florida Publishing LLC
Reference25 articles.
1. Alanazi, A. (2023). Clinicians' Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond. Cureus. 2023 Sep 14;15(9): e45255. https://doi.org/10.7759/cureus.45255.
2. Amann, J., Blasimme, A., Vayena, E. et al. (2020). Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med Inform Decis Mak 20, 310. https://doi.org/10.1186/s12911-020-01332-6.
3. Andonian, S, Okeke, Z, Okeke, DA, Rastinehad, A, Vanderbrink, BA, Richstone, L, Lee, BR. (2008). Device failures associated with patient injuries during robot-assisted laparoscopic surgeries: a comprehensive review of FDA MAUDE database. Can J Urol. 2008 Feb;15(1):3912-6. PMID: 18304403.
4. Bal, B.S. (2009). An introduction to medical malpractice in the United States. Clin Orthop Relat Res. 2009 Feb;467(2):339-47. DOI: 10.1007/s11999-008-0636-2. Epub 2008 Nov 26. PMID: 19034593; PMCID: PMC2628513.
5. Bryson, J.J., Diamantis, M.E. & Grant, T.D. (2017). Of, for, and by the people: the legal lacuna of synthetic persons. Artif Intell Law 25, 273–291 https://doi.org/10.1007/s10506-017-9214-9
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