Uses of Artificial Intelligence in Driverless Cars

Abstract

This presentation aims to highlight the central role of artificial intelligence in the development of self driving cars and autonomous transport in general, by explaining how sensory perception systems, decision making algorithms, and speed, steering, and braking control units integrate to form a safe and efficient driving system. It also seeks to analyze the economic and security dimensions of these technologies, showing the opportunities, they offer to reduce accidents, lower transport costs, and improve energy consumption efficiency, in return for the legal and ethical challenges they pose regarding liability for accidents, protection of privacy, and societal trust. The main findings indicate that smart technologies, if well designed and properly framed from a regulatory perspective, can help reduce human error and significantly enhance the efficiency of transport systems, while achieving substantial economic and environmental gains. In contrast, it appears that the widespread adoption of autonomous transport requires continuous research and technological investment, a comprehensive update of legal frameworks, and the adoption of accompanying policies to limit negative impacts on the labor market and to ensure fairness and transparency in the use of intelligent systems in public spaces.