نوع مقاله : علمی و پژوهشی
نویسندگان
1 استاد دانشکده حقوق، دانشگاه ملی مالزی (UKM)، مالزی
2 گروه حقوق. واحد لاهیجان. دانشگاه آزاد اسلامی. لاهیجان. ایران
3 گروه حقوق؛ دانشگاه ایلام، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Abstract
With the rapid advancement of artificial intelligence-based technologies, particularly autonomous vehicles, criminal justice systems are facing novel challenges in identifying and attributing criminal liability. The significance of this issue lies in the fact that, despite their high potential to enhance transportation safety and improve social welfare, autonomous vehicles—due to their reliance on complex algorithms, the absence of direct human control, and the ability to make independent decisions—are transforming the traditional foundations of criminal liability, such as mens rea, foreseeability, and imputability. Addressing this issue is essential in light of the need to reconsider traditional criminal law frameworks and to develop new models that remain effective in confronting emerging technologies.
This study aims to conduct a comparative analysis of the legal approaches adopted by France, Singapore, and Iran, examining the capacity of each to regulate criminal liability arising from the malfunction or wrongful behavior of autonomous vehicles. The research employs a descriptive-analytical method based on library resources and legal documents. The findings indicate that, despite philosophical and structural differences among the examined models, each strives to establish clear boundaries between liability and immunity by introducing new frameworks suited to the demands of the AI era. Accordingly, the development of training and licensing systems for technology users, along with the design of empirical testing mechanisms prior to the release of such technologies into real-world settings, are among the key recommendations proposed to enhance criminal accountability in the age of artificial intelligence.
کلیدواژه‌ها [English]
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