Osaka Metropolitan University Researchers Develop Explainable AI for Ship Navigation

The researchers have developed an Explainable AI model for ships that measures the collision risk for vessels in a certain area.

Explainable AI visualised as glowing, wireframe boats on digital wave (Creds: FreePik)
Explainable AI visualised as glowing, wireframe boats on digital wave (Creds: FreePik)

As key sea-lanes have become more congested – this feature ensures the protection of the cargo and the individuals on board.

Autonomous Navigation: A Safer Future at Sea

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.

“By being able to explain the basis for the judgments and behavioural intentions of AI-based autonomous ship navigation, I think we can earn the trust of maritime workers,” Professor Hashimoto said. “I also believe that this research can contribute to the realization of unmanned ships.”

Building Industry Trust Through AI Technology

The technology is believed to reduce human error and increase the marine industry’s trust in AI software.