Civil liability for damages arising from the use of artificial intelligence in the practice of robotic medicine is considered a modern topic of significant importance across various countries worldwide, particularly in the United Arab Emirates, which is well known for its progress in all sectors, especially the healthcare sector. The adoption of artificial intelligence in this field aims to employ advanced technologies to enhance the quality of medical services and provide sophisticated healthcare to the community. The importance of this study lies in highlighting the role of artificial intelligence in the practice of robotic medicine, with a focus on the position of UAE legislation regarding this use, including the Federal Medical Liability Law No. (4) of 2016 and its Executive Regulations No. (40) of 2019. The study also reviews the report of the Legal Affairs Committee of the European Union concerning the European resolution on civil law rules related to robotics issued on 16 February 2017.The study further examines the legal nature of artificial intelligence, the different AI systems, their applications and entities, as well as the fundamental elements of civil liability arising from the actions of robots, namely fault, damage, and the causal relationship between the physician’s error and the harm suffered by the patient. Finally, the study analyzes the legal consequences resulting from the establishment of robot liability, including judicial compensation and contractual compensation.The findings indicate that healthcare authorities in the UAE have achieved notable success in implementing artificial intelligence technologies. The Ministry of Health and Prevention relies on these technologies in X-ray devices within medical examination procedures for residency, while the Dubai Health Authority has achieved remarkable progress in employing artificial intelligence across several medical fields.
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Hisham Jadallah Mansour Shakaterh
Middle East University
Dr. Ahmed bin Saleh bin Nasser Al-Barwani
College of Applied Sciences, Nizwa
Middle East University
College of Applied Sciences, Nizwa
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Shakaterh et al. (Sat,) studied this question.
synapsesocial.com/papers/6a2117dfd499ed480b170a71 — DOI: https://doi.org/10.70176/3106-7557.1011