## 6 Conclusions  
The integration of AI in maritime transportation holds immense potential for enhancing safety, efficiency, and sustainability within the industry. This research has explored various AI applications, demonstrating significant improvements in operational safety and efficiency through AI-driven risk analysis, seafarer resource management, hazardous material handling, predictive maintenance, and navigation systems.  
Key findings include the successful implementation of AI technologies such as Wartsila's Fleet Operations Solution, ABB's Marine Pilot Vision, and Kongsberg's Kognifai Maritime Ecosystem. These case studies highlight AI's ability to optimize routes, prevent collisions, and monitor environmental conditions effectively, thereby enhancing the operational performance and safety of maritime operations.  
However, several challenges remain, including the integration of AI systems with existing maritime infrastructure, ensuring data quality and availability, and navigating the complex regulatory and ethical landscape. Addressing these hurdles requires a collaborative effort among industry stakeholders, regulatory bodies, and technology providers. Establishing robust data management practices, adhering to regulatory standards, and addressing ethical considerations are essential steps toward the responsible deployment of AI in maritime operations.  
Looking ahead, advancements in AI technology, such as enhanced machine learning algorithms, integration with IoT and blockchain, and the development of autonomous vessels, promise to further revolutionize the maritime industry. Future research should focus on overcoming the technical and operational challenges identified, exploring the implications of increased AI autonomy, and ensuring that the human workforce is adequately trained and integrated into this technological evolution.  
While the future of maritime transportation empowered by AI is promising, it is essential to balance this optimism with a realistic assessment of the challenges ahead. By leveraging AI's transformative potential and addressing its limitations through continuous research and collaboration, the maritime industry can achieve safer, more efficient, and sustainable operations. This comprehensive approach will not only enhance the resilience and reliability of maritime transportation but also contribute significantly to the broader goal of sustainable global trade and economic growth.  
This review not only synthesizes the current state of AI applications in maritime safety but also provides a roadmap for future research and development. By addressing the key challenges of infrastructure compatibility, regulatory frameworks, and data quality, the maritime industry can fully leverage the transformative potential of AI. Future studies should focus on improving interoperability between AI systems and legacy maritime infrastructure, as well as developing international standards that ensure safe and ethical AI integration.  
Conceptualization, I.D. and T.M.; investigation, I.D., E.K., T.T. and T.M.; writing--original draft preparation, I.D., E.K., T.T. and T.M.; writing--review and editing, I.D., E.K. and T.M.; visualization, T.M.; supervision, T.M. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.