Road safety is a serious concern around the world, with escalating accident and fatality rates. This paper examines the critical role of artificial intelligence (AI) in addressing and mitigating these issues. Beginning with an introduction to the importance of road safety, the paper progresses through current concerns and prevalent causes of accidents, laying the groundwork for the investigation of AI interventions. The paper digs into AI's multidimensional role in improving road safety, focusing on Intelligent Transportation Systems (ITS) for efficient traffic management and advanced driver assistance systems (ADAS) for collision prevention. It delves into AI technologies including computer vision for object and pedestrian recognition, as well as machine learning techniques for predictive analytics and driver behavior monitoring. Despite the exciting promises, the use of AI in road safety faces hurdles such as integration with current infrastructure and ethical concerns about privacy. The report emphasizes the importance of cautious thinking while using new technologies, while also recognizing their potential benefits. In conclusion, this paper provides a detailed assessment of the current state of road safety, the revolutionary role of AI, and the obstacles and potential connected with its application. It promotes ongoing research and development to spur innovation and contribute to a safer driving environment.