The Optimal Agent: The Future of Autonomous Vehicles & Liability Theory
Artificial Intelligence: Thinking About Law, Law Practice, and Legal Education; hosted by Duquesne University School of Law (2018)
38 Pages Posted: 5 Oct 2018 Last revised: 29 Jan 2019
Date Written: October 5, 2018
Autonomous Vehicles (“AVs”) are rapidly disrupting the $4 trillion auto industry. Indeed, questions surrounding AV regulation are some of the most important to be answered in the Twenty-First Century. Yet, legislators have yet to address or even identify some of the most critical issues relating to AV regulation.
This paper explains the unique issues that deep reinforcement learning systems pose for AV technology, policy, and law. Additionally, this paper identifies two important regulatory problems that legislators and scholars need to address in the context of AV development. Legal scholars have made clear that there is a demanding need for some sort of regulatory system for AVs. However, those arguments focus on short term regulation and generally misunderstand the evolutionary rate of AV technology. This paper takes an informatics based approach to analyzing issues in AV regulation with a specific emphasis on the technical aspects of AV systems. Further, this paper discusses and explains the formal models that are currently being used as a foundation for AV development. Ultimately, AV technology will change the way humans move throughout the world and legislators must prepare immediately for the endeavor ahead in regulating AVs.
Keywords: autonomous vehicles, driverless cars, law, policy, machine learning, artificial intelligence
JEL Classification: K10
Suggested Citation: Suggested Citation