Building Trustworthy AI Systems: Developing Explainable Models for Transparent Decision-Making in Autonomous Vehicles

The emergence of autonomous vehicles (AVs) represents a critical turning point in the development of transportation, with the potential to completely transform how we move while improving accessibility, efficiency, and safety. However, faith in these systems' decision-making processes becomes critical as they advance in sophistication and become more interwoven into daily life. For AVs to be widely accepted and deployed safely, reliable AI systems—especially those that are transparent and explainable—must be developed. This paper investigates the idea of creating reliable artificial intelligence (AI) systems, with a particular emphasis on creating explicable models for transparent decision-making in autonomous cars.