AI in Autonomous Vehicles: Opportunities, Challenges, and Regulatory Implications

Abstract

Artificial intelligence (AI) is poised to revolutionize the automotive industry through the development of fully autonomous vehicles. Self-driving cars powered by AI have the potential to dramatically improve road safety, reduce traffic congestion, increase mobility access, and transform transportation as we know it. However, the deployment of AI in vehicles also presents significant technological challenges that must be overcome, raises complex ethical considerations, and creates novel regulatory issues that policymakers will need to address. This paper provides an overview of the key opportunities and benefits of AI-driven autonomous vehicles, discusses the major challenges and open problems that remain to be solved, and explores the regulatory landscape and policy implications surrounding self-driving cars. We argue that while autonomous vehicle technology is rapidly advancing thanks to breakthroughs in AI, there are still substantial challenges to be overcome before fully self-driving cars can be safely deployed at scale. Policymakers will need to create new regulatory frameworks and standards to govern the testing and deployment of autonomous vehicles, address issues of liability and insurance, ensure safety and security, and promote public trust in the technology. With the right technological developments and policy choices, autonomous vehicles could yield immense benefits to society, but concerted collaboration between industry, academia, and government will be essential to realize this potential