A Theory Repair Based Traffic Regulations Generalisation for Autonomous Vehicles

The development of AI products poses unique challenges to law reform, especially specific normative reform. In particular, some AI technologies like autonomous driving technologies blur the boundaries of these fundamental concepts of law, such as human beings, objects and behaviours. This gives rise to inconsistency and inapplicability of existing human-specific laws when turned to AI, such as irrational division of responsibility, conceptual ambiguities, conflicting guidance on behaviour, and conflicts with legislative intent. Considering the complexity and scale of the legal structure and how AI affects this structure, especially in a dynamic context, pure manual legal adjustments will naturally face difficulties in terms of accuracy and efficiency. This study therefore extended an automated theory repair system to design an intelligent legal aid system for the revision of driving rules in the context of automated driving and provided the code necessary to implement these functions.