April 15, 2025
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Explainable AI for ship navigation raises belief, decreases human error
The Titanic sank 113 years in the past on April 14–15, after hitting an iceberg, with human error possible inflicting the ship to stray into these harmful waters. At present, autonomous techniques constructed on synthetic intelligence may also help ships keep away from such accidents, however may such a system clarify to the captain why it was maneuvering a sure manner?
That's the concept behind explainable AI, which ought to assist human actors belief autonomous techniques extra.
Researchers from Osaka Metropolitan College's Graduate College of Engineering have developed an explainable AI mannequin for ships that quantifies the collision danger for all vessels in a given space, an vital function as key sea-lanes have change into ever extra congested. The findings have been revealed in Utilized Ocean Analysis.
Graduate scholar Hitoshi Yoshioka and Professor Hirotada Hashimoto created the AI mannequin in order that it explains the premise for its selections and the intention behind actions utilizing numerical values for collision danger.
"By having the ability to clarify the premise for the judgments and behavioral intentions of AI-based autonomous ship navigation, I feel we are able to earn the belief of maritime staff," Professor Hashimoto said. "I additionally imagine that this analysis can contribute to the belief of unmanned ships."
Extra info: Hitoshi Yoshioka et al, Explainable AI for ship collision avoidance: Decoding decision-making processes and behavioral intentions, Utilized Ocean Analysis (2025). DOI: 10.1016/j.apor.2025.104471
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