AI-Based Statistical Modeling for Road Traffic Surveillance and Monitoring

Artificial Intelligence on The Road: Self-Driving Cars and the Evolving Landscape of Criminal Law

Author(s): Ramy El-Kady *

Pp: 136-157 (22)

DOI: 10.2174/9798898811112125010010

* (Excluding Mailing and Handling)

Abstract

The study focuses on self-driving cars as a novel kind of intelligent transportation, which is an application of Artificial Intelligence and is expected to invade transport markets in nearby ivory. The study uses a comparative descriptiveanalytical method to analyze the criminal legal aspects of SDC and explain the evolving landscape of criminal law. The study concluded that SDCs offer numerous benefits, such as reducing road accidents, saving time, protecting the environment, providing comfort, and making them suitable for people with special needs. Legislation in European and US states has attempted to regulate SDC use, but there are legal obstacles due to their reliance on AI software. The responsibility of natural persons using SDCs for accidents resulting from their use varies between supporters who view unintentional errors and endangering others as crimes and those who oppose this. The operator's responsibility for these accidents remains a contentious issue. The study suggests that national legislators should establish a comprehensive legal framework to regulate the use of SDC and hold those responsible for accidents accountable. New criminal liability standards should be set, including the duty to monitor the natural person in the vehicle. Traffic laws should be updated to regulate SDC and establish infrastructure for parallel use. 


Keywords: Autonomous vehicles, Criminal law, Criminal liability, Driverless cars, Self-driving cars, Self-driving vehicles, Traffic accidents, Traffic laws, User liability.

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