Home / Volume 7, Issue 1 / Civil Liability for the Error of the Robotic… Open access · CC BY-NC 4.0
Research Paper Volume 7 Issue 1 1426 - 1439 February 13, 2024

Civil Liability for the Error of the Robotic Doctor: A Comparative Study

Lead author · Corresponding
Sura Abbas Thamer
Lawyer at the Wasit Court of Appeal, Iraq
Co-author
Hazim Abed Azeez
Student at Higher Institute of Accounting and Institutional Management, University of Manouba, Tunisia
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.116872
Abstract

The countries of the world have recently witnessed widespread progress in the field of artificial intelligence, as it has begun to enter all areas of our daily lives, especially in the medical field, which has made specialists expect that in the near future, artificial intelligence will be indispensable. The study in this research focused on dealing with the concept of automated doctor intelligence, as well as its legal nature. Then, through this research, we also addressed the legal liability for damages in the application of artificial intelligence, in which we dealt with contractual liability, tort liability, as well as substantive liability. The fact that civil liability for damages arising from the use of artificial intelligence in the profession of robotic doctors is one of the most important emerging topics, as this use aims to employ modern technologies to serve humanity. The study reached many results, the most important of which is the recognition of the legal personality of artificial intelligence in "determining the person responsible for the damage." which may be caused by the artificial intelligence," recognition of the rights of the artificial intelligence "protects it from the mistreatment of others, and the obligations arising from its actions protect others from it.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 1, Page 1426 - 1439
DOI: https://doij.org/10.10000/IJLMH.116872
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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