On the problem of making autonomous vehicles conform to traffic law

Autonomous vehicles are one of the most spectacular recent developments of Artificial Intelligence. Among the problems that still need to be solved before they can fully autonomously participate in traffic is the one of making their behaviour conform to the traffic laws. This paper discusses this problem by way of a case study of Dutch traffic law. First it is discussed to what extent Dutch traffic law exhibits features that are traditionally said to pose challenges for AI & Law models, such as exceptions, rule conflicts, open texture and vagueness, rule change, and the need for commonsense knowledge. Then three approaches to the design of law-conforming AV are evaluated in light of the challenges posed by Dutch traffic law, which includes an assessment of the usefulness of AI & Law models of nonmonotonic reasoning, argumentation and case-based reasoning

Research on Legal Risks and Legal Regulations of Autonomous Driving from the Perspective of Civil Law

In recent years, artificial intelligence has been widely used in various fields of social production and daily life. Methods to promote artificial intelligence and its active integration into social life has caused fierce disputes in the scientific and technological circles and legal circles. Autonomous driving technology is a type of artificial intelligence technology. As these technologies have achieved breakthrough development, the risks of legal subject qualification and legal liability also follow. Regarding the issue of liability for the damages caused by autonomous driving, the current legal system does not involve this aspect. Whether autonomous vehicles can be applied to the determination of tort liability for traditional vehicles is worthy of in-depth discussion in the academic community. This article analyzes the possible legal risks of autonomous driving from the perspectives of legal subject qualifications, tort liability, and privacy rights. Moreover, it assesses approaches to regulate the corresponding risks from the perspectives of ethics, responsibility sharing, and privacy protection to promote the healthy development of autonomous driving. Keywords: Autonomous driving, legal risk, legal regulation DOI: 10.7176/JLPG/108-02 Publication date: April 30th 202

Three Concepts of Law: The Ambiguous Legacy of H.L.A. Hart

The law presents itself as a body of meaning, open to discovery, interpretation, application, criticism, development and change. But what sort of meaning does the law possess? Legal theory provides three sorts of answers. The first portrays the law as a mode of communication through which law-makers convey certain standards or norms to the larger community. The law's meaning is that imparted by its authors. On this view, law is a vehicle, conveying a message from a speaker to an intended audience. The second theory portrays the law as a mode of interpretation, whereby judges, officials, and ordinary citizens make decisions about how the law applies in various practical contexts. The law's meaning is that furnished by its interpreters. According to this theory, law is a receptacle into which decision-makers pour meaning. The third viewpoint argues that these theories, while not altogether wrong, are incomplete because they downplay or ignore the autonomous meaning that the law itself possesses. This theory suggests that the law is basically a mode of participation, whereby legislators, judges, officials, and ordinary people attune themselves to an autonomous field of legal meaning. The law's meaning is grounded in a body of social practice which is independent of both the law's authors and its interpreters and which is infused with basic values and principles that transcend the practice. On this view, law is the emblem of meaning that lies beyond it. Elements of all three theories are present in H.L.A. Hart's influential work, The Concept of Law, which attempts to fuse them into a single, all-encompassing theory. Nevertheless, as we will argue here, the attempt is not successful. Any true reconciliation of the communication and interpretation theories can only take place within the framework of a fully developed participation theory. In the early stages of his work, Hart lays the foundation for such a theory. However, his failure to elaborate it in a thoroughgoing way renders the work incomplete and ultimately unbalanced. As we will see, there is something to be learned from this failure

Model Predictive Control Based Trajectory Generation for Autonomous Vehicles - An Architectural Approach

Research in the field of automated driving has created promising results in the last years. Some research groups have shown perception systems which are able to capture even complicated urban scenarios in great detail. Yet, what is often missing are general-purpose path- or trajectory planners which are not designed for a specific purpose. In this paper we look at path- and trajectory planning from an architectural point of view and show how model predictive frameworks can contribute to generalized path- and trajectory generation approaches for generating safe trajectories even in cases of system failures.Comment: Presented at IEEE Intelligent Vehicles Symposium 2017, Los Angeles, CA, US

The Modern Trolley Problem: Ethical and Economically-Sound Liability Schemes for Autonomous Vehicles

The paper synthesizes modern scholarship in the fields of Artificial Intelligence law, Ethics, Corporate Liability, and Economics to develop potential liability schemes that the automotive and insurance industries may impose when autonomous vehicles eventually come to dominate the roadways. By addressing the issues of whom the autonomous vehicle’s AI protects and who bears liability in the event of an accident—two issues that this author believes are critical to the successful adoption of autonomous vehicle technology—the transition from human drivers to AI drivers will be less contentious. Because of the prescient nature of the topic, as well as a discussion of the intersectionality of Law, Technology, Philosophy, and Economics, this paper will appeal to a broad readership, especially those interested in autonomous vehicle technology and the implications that their wide-spread use will have on the law

Autonomous Vehicle Regulation & Trust: The Impact of Failures to Comply with Standards

The autonomous vehicle (AV) industry works very hard to create public trust in both AV technology and its developers. Building trust is part of a strategy to permit the industry itself to manage the testing and deployment of AV technology without regulatory interference. This article explains how industry actions to promote trust (both individually and collectively) have created concerns rather than comfort with this emerging technology. The article suggests how the industry might change its current approach to law and regulation from an adversarial posture to a more cooperative one in which a space is created for government regulation consistent with technology development. This article proposes a way forward that involves re-thinking the use of SAE J3016 as part of AV law and regulation, instead taking a new direction based on distinguishing test platforms from production vehicles

Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety

Driving is an intuitive task that requires skill, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans, focusing on the entire task for prolonged periods, and sophisticated negotiation skills with other road users including wild animals. Modern motor vehicles include an array of smart assistive and autonomous driving systems capable of subsuming some, most, or in limited cases, all of the driving task. Building these smart automotive systems requires software developers with highly technical software engineering skills, and now a lawyer’s in-depth knowledge of traffic legislation as well. This article presents an approach for deconstructing the complicated legalese of traffic law and representing its requirements and flow. Our approach (de)constructs road rules in legal terminology and specifies them in ‘structured English logic’ that is expressed as ‘Boolean logic’ for automation and ‘Lawmaps’ for visualization. We demonstrate an example using these tools leading to the construction and validation of a ‘Bayesian Network model’. We strongly believe these tools to be approachable by programmers and the general public, useful in development of Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.fals

A philosophical context for methods to estimate origin-destination trip matrices using link counts.

This paper creates a philosophical structure for classifying methods which estimate origin-destination matrices using link counts. It is claimed that the motivation for doing so is to help real-life transport planners use matrix estimation methods effectively, especially in terms of trading-off observational data with prior subjective input (typically referred to as 'professional judgement'). The paper lists a number of applications that require such methods, differentiating between relatively simple and highly complex applications. It is argued that a sound philosophical perspective is particularly important for estimating trip matrices in the latter type of application. As a result of this argument, a classification structure is built up through using concepts of realism, subjectivity, empiricism and rationalism. Emphasis is put on the fact that, in typical transport planning applications, none of these concepts is useful in its extreme form. The structure is then used to make a review of methods for estimating trip matrices using link counts, covering material published over the past 30 years. The paper concludes by making recommendations, both philosophical and methodological, concerning both practical applications and further research