The aim of this paper is to look at the pillars for developing the law-abiding “behavior” of self-driving cars. The paper will analyze the potential of artificial intelligence, machine learning mechanisms, and the transformation of rules into algorithms for self-driving cars, and highlight the vehicle diagnostics context. The analysis is expected to demonstrate that the transformation of rules into algorithms alone is not sufficient for unhindered transport, as there is a strong need for the application of vehicle diagnostics to support and enhance obstacle and accident-free transport. The technological revolution in the field of self-driving vehicles calls for the development of common ground between technical sciences and law, which are trying to make the idea of safe and sustainable transport part of everyday life.