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Civil Liability for Damage Caused by Autonomous and Artificially Intelligent Robots

المصدر: مجلة البحوث القانونية والاقتصادية
الناشر: جامعة المنصورة - كلية الحقوق
المؤلف الرئيسي: Eladawi, Elgamil S. (Author)
المجلد/العدد: ع76
محكمة: نعم
الدولة: مصر
التاريخ الميلادي: 2021
الشهر: يونيو
الصفحات: 2 - 82
DOI: 10.21608/mjle.2021.199766
ISSN: 1687-2371
رقم MD: 1175099
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EcoLink, IslamicInfo
مواضيع:
كلمات المؤلف المفتاحية:
Legal Personality | Legal Responsibility | Strict Liability | Negligence | Legal Entity
رابط المحتوى:
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المستخلص: This research aims to determine who is liable before the law for the injuries that may be caused by AI machine or so-called "robot" which uses artificial intelligence (AI)'s technology established by the ability of mental trial and self-decision; However, since even the best technology is not error-free, robots may cause severe damage to human beings and property, for society to just accept these new technologies and to foster innovation, clear rules on civil liability are required. The Legislature in the EU, US and MENA region have been cautious about this issue, which has shaped a thoughtful predicament in defining who is responsible for the actions of the robot, whether the robot itself is liable for it, or that it is in the future liable to accept its consequences, and then to hold the robot personally responsible for the harm it may cause. After reviewing the European Civil Law of Robotics issued in February 2017, we found that the EU's resolution was based on the idea of a "Human Agent" was liable to compensate for the damage caused by the acts of the robot; manufacturers, operators or owners. That means the robot may be given a legal status which allows it to be an enabler, not a safeguarded thing, and to establish a future legal status for the robot that may give it a legal personality, which necessitates studying the effect of the human Agent theory on the feasibility of the law in its traditional sense in the near future

ISSN: 1687-2371