Criminal Liability in AI-Enabled Autonomous Vehicles: A Comparative Study
Sahibpreet Singh, Manjit Singh

TL;DR
This paper compares legal frameworks for criminal liability in autonomous vehicles across five countries, highlighting regulatory differences and advocating for global standards to balance innovation and safety.
Contribution
It provides a comparative legal analysis of AV liability laws in diverse jurisdictions, emphasizing the need for harmonized international standards.
Findings
Fragmented regulatory landscapes across countries.
UK's pioneering Automated and Electric Vehicles Act 2018.
Necessity for globally harmonized legal standards.
Abstract
AI revolutionizes transportation through autonomous vehicles (AVs) but introduces complex criminal liability issues regarding infractions. This study employs a comparative legal analysis of primary statutes, real-world liability claims, and academic literature across the US, Germany, UK, China, and India; jurisdictions selected for their technological advancement and contrasting regulatory approaches. The research examines the attribution of human error, AI moral agency, and the identification of primary offenders in AV incidents. Findings reveal fragmented regulatory landscapes: India and the US rely on loose networks of state laws, whereas the UK enacted the pioneering Automated and Electric Vehicles Act 2018. Germany enforces strict safety standards, distinguishing liability based on the vehicle's operating mode, while China similarly aims for a stringent liability regime. The study…
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Taxonomy
TopicsEthics and Social Impacts of AI · Law, AI, and Intellectual Property · Artificial Intelligence in Law
