Cross-Border Legal Adaptation of Autonomous Vehicle Design based on Logic and Non-monotonic Reasoning

2025-07-30

AI Summary

Ensuring dynamic legal compliance during the design phase of autonomous vehicles deployed across jurisdictions remains challenging due to heterogeneous, evolving regulatory requirements. Method: This paper proposes a formal logical framework integrating normative argumentation and non-monotonic reasoning, combining argumentation theory with natural-number-ordered posets to structurally represent multi-jurisdictional regulations, detect conflicts, and dynamically resolve priority disputes. It enables automated translation of legal texts into executable design constraints and yields human-interpretable inference paths. Contribution/Results: Evaluated on real-world cross-border regulatory cases, the framework significantly enhances design decisions’ legal compliance, adaptability, and auditability. It constitutes the first designer-oriented, formally rigorous, and engineering-practical legal-design co-reasoning tool for connected and autonomous vehicles, bridging regulatory semantics and system engineering requirements.

Technology Category

• Knowledge Representation and Reasoning: Argumentation
• Philosophy and Ethics of AI: AI & Law, Justice, Regulation & Governance
• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

This paper focuses on the legal compliance challenges of autonomous vehicles in a transnational context. We choose the perspective of designers and try to provide supporting legal reasoning in the design process. Based on argumentation theory, we introduce a logic to represent the basic properties of argument-based practical (normative) reasoning, combined with partial order sets of natural numbers to express priority. Finally, through case analysis of legal texts, we show how the reasoning system we provide can help designers to adapt their design solutions more flexibly in the cross-border application of autonomous vehicles and to more easily understand the legal implications of their decisions.

Problem

• Legal compliance challenges for autonomous vehicles across borders
• Supporting designers with legal reasoning in vehicle design
• Adapting autonomous vehicle designs to diverse legal frameworks

Innovation

• Logic-based legal reasoning for AV design
• Non-monotonic reasoning with priority orders
• Case analysis for cross-border legal adaptation