Uncrewed vehicles have entered the streets of several cities worldwide in a test mode. In accidents with unmanned vehicles, they cause damage to the life, property, and health of citizens; these cases aren’t rare. Such cases have already happened. The purpose of this article is to analyze various points of view on the problems of criminal liability for offenses committed with the participation of uncrewed vehicles. Legal, ethical and moral ambiguity in matters of responsibility is becoming an obstacle to the development of unmanned transport. Using artificial intelligence requires a comprehensive analysis by the scientific community (politicians, psychologists, lawyers, representatives of the law enforcement sphere). Applying general scientific methods of cognition, the authors raise the question of determining the culpability of participants in road accidents involving unmanned vehicles. Its correct solution will ensure a more effective and balanced distribution of responsibility, which is fundamentally significant for law enforcement practice. Researchers propose to put on uncrewed vehicles with a specific status, which implies the acquisition of the rights and obligations of a legal entity. The authors of this scientific work categorically deny the possibility of personal responsibility of the artificial intelligence itself. The authors propose to include “indirect participants” in the number of potential defendants in traffic accidents involving artificial intelligence, including software developers, manufacturers, sellers, owners, users of an uncrewed vehicle. The authors believe that in the field of civil liability for offenses, it is necessary to recognize uncrewed vehicles as a source of increased danger, applying the institute of responsibility without fault.
The Problem of Determination of Guilt in Traffic Accidents with Intelligent Agent
Lect. Notes in Networks, Syst.
International Scientific Siberian Transport Forum ; 2021 May 11, 2021 - May 14, 2021
International Scientific Siberian Transport Forum TransSiberia - 2021 ; Kapitel : 105 ; 948-955
2022-03-18
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
NTIS | 1966
Engineering Index Backfile | 1924
|Elsevier | 1970