In a significant stride towards safer and more efficient autonomous maritime operations, a recent study published in *Maritime Research and Technology* (formerly known as *Maritime Research and Technology*) has shed light on the potential of ISO 42001:2023 standards in managing AI systems. The research, led by Eslam Abdelghany E. Mohamed from the College of Maritime Transport and Technology at the Arab Academy for Science, Technology & Maritime Transport in Alexandria, explores how specific controls from Annex A of the ISO 42001:2023 standard can be applied to mitigate risks associated with AI in maritime operations.
The study, which engaged in scenario studies during an ISO 42001:2023 requirements course conducted by Det Norske Veritas (DNV) at the Arab Academy for Science, Technology and Maritime Transport (AASTMT), assessed the relevance of selected controls to maritime operations. Using the Plan-Do-Check-Act (PDCA) model, the research evaluated the adequacy of these controls in improving governance, risk management, and operational efficiency.
One of the key findings of the study is that ISO 42001:2023 is indeed appropriate for mitigating AI-related risks while ensuring transparency, accountability, and compliance. As Mohamed puts it, “The selected controls proved useful in addressing critical issues in guidance, decision, and resource management.” This is a significant step forward, considering the lack of a structured framework to manage AI systems and autonomous maritime operations, which has been a critical gap in the industry.
The commercial impacts of this research are substantial. By providing a structured framework for managing AI systems, ISO 42001:2023 can enhance operational efficiency, safety, and compliance in the maritime industry. This can lead to significant cost savings and improved competitiveness for maritime companies. Moreover, the study’s findings can serve as a basis for more extensive harmonization and incorporation with the International Organization for Standardization, paving the way for global standardization in AI management systems for maritime operations.
The opportunities for the maritime sector are vast. As autonomous maritime operations become more prevalent, the need for robust AI management systems will only grow. The findings of this study can guide maritime companies in selecting and implementing appropriate controls to manage AI systems effectively. Furthermore, the study’s emphasis on transparency, accountability, and compliance can help build trust among stakeholders, fostering a more conducive environment for the adoption of autonomous maritime operations.
In conclusion, the research led by Mohamed and published in *Maritime Research and Technology* marks a significant milestone in the integration of AI in autonomous maritime operations. By providing a structured framework for managing AI systems, ISO 42001:2023 can enhance operational efficiency, safety, and compliance, opening up new opportunities for the maritime sector. As the industry continues to evolve, the findings of this study will undoubtedly play a crucial role in shaping the future of autonomous maritime operations.