Publication | Closed Access
Automatic Identification System (AIS): Data Reliability and Human Error Implications
429
Citations
2
References
2007
Year
Artificial IntelligenceEngineeringMachine LearningMarine SafetyIntelligent DiagnosticsBiometricsSafety ScienceAutonomous SystemsIntelligent SystemsMarine NavigationMaritime SafetyRecent IntroductionNaval ArchitectureAi ReliabilityIntelligent Autonomous SystemsData SciencePattern RecognitionSystems EngineeringIdentification MethodAutomatic IdentificationHuman FactorsStatisticsPotential ImpactMaritime Resource ManagementMachine SystemsComputer ScienceHuman IdentificationAutomationMaritime AccidentSafe Artificial IntelligenceAutomatic Identification System
This paper examines the recent introduction of the AIS to the ship's bridge and its potential impact on the safety of marine navigation. Research has shown that 80 to 85% of all recorded maritime accidents are directly due to human error or associated with human error. Safety is an important element of marine navigation and many people at different levels are involved in its management. The safe and efficient performance of joint systems, is heavily dependent upon how functions are allocated between the human and the machine. This paper investigates different regulations, supervision for proper use, training, and management of AIS users. It uses previous research and three separate AIS studies to identify problems. The potential of the AIS to cause problems is analysed. The classic human factor “Swiss Cheese” Model of system failure has been modified for the AIS to investigate a possible accident trajectory. The paper then concludes with recommendations and suggestions for improvements and further work.
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