## 3 AI Implementations in Maritime Transport Systems
### AI in Crew Resource Management  
Artificial intelligence (AI) is increasingly being integrated into maritime operations to provide real-time decision support to seafarers, enhancing their performance and safety. However, to substantiate these claims, it is crucial to include specific examples and empirical data demonstrating the practical benefits of AI in seafarer resource management. AI-powered training simulations have become essential tools in enhancing seafarer resource management (SRM) within the maritime industry. These simulations use advanced AI algorithms to create realistic and dynamic training scenarios that mimic real-world maritime operations. By exposing seafarers to various operational challenges and emergency situations in a controlled environment, AI-driven simulations significantly improve their decision-making, problem-solving, and teamwork skills [32; 33]. One of the key advantages of AI-powered simulations is their ability to adapt to the trainee's performance. Machine learning algorithms can analyze the actions of trainees in real time and adjust the difficulty level and complexity of scenarios accordingly. This personalized approach ensures that each crew member receives training that is tailored to their specific needs and skill levels [34; 35]. Furthermore, AI simulations provide instant feedback and detailed performance analysis. Trainees can review their actions and decisions, learn from their mistakes, and understand the consequences of their actions without the risks associated with real-life training. This iterative learning process helps to build confidence and competence, preparing crew members to handle various maritime situations effectively [36; 37]. AI systems are increasingly being integrated into maritime operations to provide real-time decision support to crew members. These systems utilize data from various sources, including sensors, weather forecasts, and navigation systems, to offer actionable insights and recommendations during operations [37]. AI systems also provide real-time decision support to seafarers during operations. These systems utilize data from various sources, including sensors, weather forecasts, and navigation systems, to offer actionable insights and recommendations. For example, an AI system can monitor a ship's position, speed, and heading along with external factors such as traffic density and weather conditions to predict potential collisions or grounding incidents. The system can then alert the seafarers and recommend evasive maneuvers to avoid accidents [13; 21]. In addition to risk management, AI decision support systems can enhance operational efficiency. By optimizing route planning based on real-time data, these systems can help ships reduce fuel consumption, avoid delays, and improve overall voyage performance. The ability to process and analyze data continuously ensures that the crew has access to the most up-to-date information, enabling them to make informed decisions quickly [38; 39]. The integration of AI in crew resource management has a profound impact on maritime safety. By enhancing training and providing real-time decision support, AI technologies contribute to a significant reduction in human errors, which are a leading cause of maritime accidents [40]. AI-powered training simulations prepare crew members to handle a wide range of scenarios, from routine operations to emergency situations. This comprehensive training improves their ability to respond effectively to unforeseen events, reducing the likelihood of accidents caused by inadequate training or poor decision-making. Studies have shown that crews trained with AI simulations demonstrate higher levels of competence and confidence in real-world operations [34]. Real-time decision support systems enhance situational awareness by providing crew members with critical information and predictive insights. This increased awareness allows for proactive risk management, enabling the crew to address potential issues before they escalate into serious incidents.