International Journal of Scientific Research & Engineering Trends Volume 11, Issue 1, Jan-Feb-2025, ISSN (Online): 2395-566X © 2025 IJSRET 665 The Role of AI in Enhancing Safety Standards in Autonomous Shipping: A Review of Collision Avoidance Systems Mohammad Anas Ahmed Rizwan 1 , Ayaan Ali Ahmed Siddiqui 2 German Aerospace Centre (DLR) Institute of maritime energy systems Hamburg, Germany 1 Stylework Gurugram, Haryana India 2 Abstract- The rise of autonomous ships allows for great opportunities in the search for greater efficiency, cost-effectiveness, and environmental sustainability in maritime operations. Safety, though, has always been a major concern, particularly with the risks of collision within increasingly congested lanes. This paper reviews the literature on how artificial intelligence is being used to transform safety standards, including, in particular, autonomous shipping, for a collision avoidance system. We examined how AI-driven methodologies such as machine learning, path-planning algorithms, predictive analytics, and decision-support systems should be integrated to advance minimal human intervention in the development of navigational decision-making processes. Sensor technologies such as radar, LiDAR, sonar, and satellite imagery are analysed for situational awareness, real-time risk assessment, and dynamic adaptation to the maritime environment. The paper discusses the use of sensor technologies, for example, radar, LiDAR, sonar, and satellite imagery, in support of situational awareness, real-time risk assessment, and dynamic adaptation to the maritime environment. Further, it shows a number of regulatory challenges, ethical considerations, and urgent international standardization issues that the development and integration of AI technologies may have for maritime industries. Index Terms- Autonomous shipping, Artificial Intelligence, Collision avoidance systems, Safety standards, Sensor fusion, Machine learning, Path planning algorithms, Predictive analytics, Real-time data analysis I. INTRODUCTION The Growth and Impact of Autonomous Shipping Automated shipping is new technology promising the maritime industry huge leaps in especially operational efficiency, cost reduction, and a reduction of human error. Improvements come at a time when volumes of trade are increasing, resulting in increased traffic in shipping lanes, thus more risk in navigation. According to WTO (2023), global merchandise trade volumes are projected to increase by 2.6% in 2024 and 3.3% in 2025, following a 1.2 percent decline in 2023 [34]. This growth increases the risk of collisions in shipping routes, heightening the need for effective collision avoidance. EMSA further reports that human-induced factors account for approximately 89.5% of New Casualty Reports (EMSA, 2023), suggesting that much more scope remains with the help of automated systems [7]. The IMO goes on to say that this trend has continued and that safe navigation systems have been even further pushed into the foreground of the needs of this industry. These systems also bring a new standard in maritime safety through what it calls a collision avoidance system (CAS). CAS utilizes a complex arithmetic model and requires continual data processing in order to identify risk indicators [10], [22]. Since typical navigation systems rely on human decisions, shortcomings related to human factors, such as fatigue and error, are present; on the other hand, AI involves constant monitoring, analysis, and decision-making processes [2], [6]. Therefore, the value addition in learning curve for flexible and responsive CAS algorithm design comes with the guarantee of safety and effectiveness of autonomy in maritime operation. Development of Artificial Intelligence in Maritime Safety Systems AI in maritime safety systems has nowadays passed a couple of important milestones in technological development. Earlier, seaborne navigation employed simple tools such as the compass and the sextant, and in the twentieth century, it involved the use of radar and GPS [13]. These developments led to the creation of modern navigation, as well as enhanced location identification and tracking of the course. When maritime trade was growing, conventional systems