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Japanese Researchers Develop Explainable AI to Enhance Maritime Safety

The AI model quantifies collision risks and clarifies decision-making processes, paving the way for safer and more autonomous ship navigation.

Overview

  • Researchers at Osaka Metropolitan University have created an AI model that assigns numerical values to ship collision risks in congested sea-lanes.
  • The system is designed to explain its decision-making processes, fostering trust among maritime professionals and reducing human error.
  • The model's development draws on historical lessons, such as the Titanic disaster, to emphasize the importance of safer navigation practices.
  • Published in the February 2025 issue of *Applied Ocean Research*, the findings are gaining significant attention for their transformative potential.
  • Experts believe this innovation could serve as a foundation for the transition to unmanned, autonomous ships in the future.

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