Ship and hovercraft officers

maintains log of vessel’s progress, weather conditions, conduct of crew, etc

AI tools like ChatGPT or specialised maritime software can assist in drafting and structuring log entries from structured data inputs, reducing administrative burden while officers verify accuracy and add contextual detail.

locates the position of vessel using electronic and other navigational aids such as charts and compasses and advises on navigation where appropriate

AI-powered ECDIS (Electronic Chart Display and Information Systems) and tools like Furuno's NavNet significantly enhance position fixing and route optimisation, but officers must interpret and validate outputs in real time.

maintains radio contact with other vessels and coast stations

AI can assist with automated distress signal monitoring and message logging, but maintaining live radio contact, interpreting communications, and making real-time decisions remain human responsibilities.

prepares watch keeping rota and maintains a look-out for other vessels or obstacles

AI scheduling tools can help generate watch-keeping rotas, and radar/AIS systems with AI overlays assist lookout duties, but human vigilance and decision-making in hazardous conditions remain essential.

allocates duties to ship’s officers and co-ordinates and directs the activities of deck and engine room ratings

AI can assist with scheduling and crew management software, but real-time coordination of personnel in dynamic maritime environments requires human authority and situational judgment.

directs or undertakes the operation of controls to inflate air cushions, run engines and propel and steer ships, hovercraft and other vessels

Autopilot and AI-assisted navigation systems (e.g., Kongsberg's vessel control systems) can handle routine steering, but human officers must manage complex manoeuvres, port approaches, and emergency situations.

monitors the operation of engines, generators and other mechanical and electrical equipment and undertakes any necessary minor repairs

AI-based predictive maintenance systems (e.g., Wärtsilä's Expert Insight) can flag anomalies in engine data, but physical inspection and hands-on minor repairs still require human presence and dexterity.