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X-ORIGINAL-URL:https://silveragesolutions.co.uk/
X-WR-CALNAME:Silver Age Solutions
X-WR-CALDESC:Education Consultancy
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DTSTART:20261019T233317
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UID:MEC-63538fe6ef330c13a05a3ed7e599d5f7@silveragesolutions.co.uk
DTSTART;TZID=UTC:20260601T093000
DTEND;TZID=UTC:20260605T160000
DTSTAMP:20260815T154449Z
CREATED:20260815
LAST-MODIFIED:20260815
PRIORITY:5
SEQUENCE:0
TRANSP:OPAQUE
SUMMARY:Autonomous and Semi-Autonomous Marine Vessels: Engineering Systems &amp; AI Control
DESCRIPTION:Introduction\nThe transition from human-led command to AI-assisted navigation is perhaps the most disruptive shift in maritime history. The focus is on Level 4 autonomy for short-sea shipping and “Blue Highways,” where labor shortages and the high cost of crew drive the demand for unmanned operations.\nIn emerging economies, autonomous technology is often applied in a semi-autonomous capacity to enhance safety and bridge the skills gap in rapidly expanding maritime sectors. Here, AI acts as a “safety co-pilot,” assisting less experienced crews in navigating complex, congested waterways. This course examines the control architectures and AI navigation models that make these levels of autonomy possible.\nThe challenge in autonomous shipping is not just technical but regulatory and ethical. As we move toward a world where AI makes split-second collision avoidance decisions, leaders must understand algorithmic accountability.\nLearning Outcomes\n\nUnderstand AI control frameworks for safe navigation in congested waters.\nAssess regulatory and liability challenges of autonomous systems across jurisdictions.\nImplement AI-based collision avoidance systems that are COLREGs-compliant.\nDevelop remote-operator “Psychological Safety” protocols for navigation.\nDesign redundant engineering systems for unmanned or reduced-crew engine rooms.\nEvaluate the cost-benefit of autonomous vs. crewed operations for regional trade.\n\nLearning Objectives\n\nAnalyse autonomous vessel architectures, focusing on fail-safe AI loops.\nEvaluate AI navigation models against real-world maritime safety data.\nAssess safety and regulatory challenges in alignment with IMO and WEF standards.\nDifferentiate between the four levels of maritime autonomy.\nSimulate an AI response to a sensor failure in a semi-autonomous ship.\nExplain the ethical implications of autonomous decision-making in emergencies.\n\n
URL:https://silveragesolutions.co.uk/events/autonomous-and-semi-autonomous-marine-vessels-engineering-systems-ai-control/
LOCATION:Kigali
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