{"id":25868,"date":"2025-04-16T15:04:03","date_gmt":"2025-04-16T09:19:03","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=25868"},"modified":"2025-04-16T15:04:38","modified_gmt":"2025-04-16T09:19:38","slug":"explainable-ai-for-ship-navigation-raises-trust-decreases-human-error","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/explainable-ai-for-ship-navigation-raises-trust-decreases-human-error\/","title":{"rendered":"Explainable AI for ship navigation raises trust, decreases human error"},"content":{"rendered":"\n

New AI model explains the basis for its decisions and the intention behind actions<\/em><\/strong><\/p>\n\n\n\n

\"\"
Close encounters:<\/strong> A passenger ferry, left, and a cargo ship sail the Akashi Strait in Japan.<\/em> IMAGE: Yoshiho Ikeda<\/figcaption><\/figure>\n\n\n\n

The Titanic sunk 113 years ago on April 14-15, after hitting an iceberg, with human error likely causing the ship to stray into those dangerous waters. Today, autonomous systems built on artificial intelligence can help ships avoid such accidents, but could such a system explain to the captain why it was maneuvering a certain way?<\/p>\n\n\n\n

That\u2019s the idea behind explainable AI, which should help human actors trust autonomous systems more. Researchers from Osaka Metropolitan University\u2019s Graduate School of Engineering have developed an explainable AI model for ships that quantifies the collision risk for all vessels in a given area, an important feature as key sea lanes have become ever more congested.<\/p>\n\n\n\n

Graduate student Hitoshi Yoshioka and Professor Hirotada Hashimoto created the AI model so that it explains the basis for its decisions and the intention behind actions using numerical values for collision risk.<\/p>\n\n\n\n

\u201cBy being able to explain the basis for the judgments and behavioral intentions of AI-based autonomous ship navigation, I think we can earn the trust of maritime workers,\u201d Professor Hashimoto stated. \u201cI also believe that this research can contribute to the realization of unmanned ships.\u201d<\/p>\n\n\n\n

The findings were published in Applied Ocean Research<\/em>.<\/p>\n","protected":false},"excerpt":{"rendered":"

That\u2019s the idea behind explainable AI, which should help human actors trust autonomous systems more<\/p>\n","protected":false},"author":2,"featured_media":25869,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[163],"tags":[],"class_list":["post-25868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-200x200.jpg",200,200,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-610x400.jpg",610,400,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-675x442.jpg",675,442,true],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-600x483.jpg",600,483,true],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-600x483.jpg",600,483,true],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",737,483,false],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-550x360.jpg",550,360,true],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship-95x65.jpg",95,65,true],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",640,419,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",96,63,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/04\/ship.jpg",150,98,false]},"author_info":{"info":["RevoScience"]},"category_info":"AI<\/a>","tag_info":"AI","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25868","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=25868"}],"version-history":[{"count":2,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25868\/revisions"}],"predecessor-version":[{"id":25871,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25868\/revisions\/25871"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/25869"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=25868"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=25868"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=25868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}