AI IN AUTONOMOUS VEHICLE: SAFETY AND DECISION-MAKING

Abstract

The integration of Artificial Intelligence (AI) in autonomous vehicles represents a transformative shift in the automotive industry, promising safer and more efficient transportation systems.This research paper investigates the crucial intersection of AI, safety, and decision-making in autonomous vehicles, exploring the challenges, advancements, and ethical considerations that arise as AI takes the wheel.The primary objective of this paper is to provide a comprehensive analysis of the safety implications and decision-making processes associated with AI in autonomous vehicles.As the deployment of autonomous technology becomes more prevalent, understanding the intricacies of AI-driven decision-making and ensuring the safety of passengers, pedestrians, and other road users is paramount.The introductory section sets the stage by outlining the current state of autonomous vehicle technology and the increasing role of AI in shaping their behavior.It highlights the evolution from driver-assistance systems to fully autonomous vehicles, discussing the levels of autonomy defined by standards such as the Society of Automotive Engineers (SAE).Moreover, it touches upon the potential benefits of AI in enhancing road safety, reducing accidents, and optimizing traffic flow.