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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:20261019T233238
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DTSTART;TZID=UTC:20260810T093000
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DTSTAMP:20260815T154445Z
CREATED:20260815
LAST-MODIFIED:20260815
PRIORITY:5
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TRANSP:OPAQUE
SUMMARY:Regulation, Ethics, and Classification Standards for AI in Marine Engineering
DESCRIPTION:IntroductionAI technology is currently outpacing maritime law. The focus is now on “Responsible AI”, ensuring that algorithms are transparent, fair, and accountable. Several regions are actively developing EU AI Act-aligned standards and IMO guidelines for autonomous ships, emphasising that AI must serve the public good and protect environmental safety.\nIn emerging economies, the regulatory focus is often on “Sovereignty and Compliance.” These nations want to ensure that AI-driven vessels entering their waters meet international classification standards (like DNV or Lloyd’s Register) without compromising local labor laws or security. This course explores how to navigate this fragmented legal landscape, ensuring that AI implementations are both “Trustworthy” and compliant.\nThe task is to move beyond “Compliance” and into “Ethical Governance.” Managers will learn how to set up “Ethics Committees” to vet new AI projects, ensuring they don’t contain algorithmic bias that could lead to unfair hiring or discriminatory port-arrival scheduling. This course provides the moral and legal “compass”.\nLearning Outcomes\n\nApply regulatory and ethical frameworks to ensure the “Responsible Use of AI” in marine systems.\nInterpret IMO, ISO, and classification society standards for AI-enabled vessels.\nImplement ethical AI governance that avoids algorithmic bias in safety or operations.\nDesign “Compliance Dashboards” for multi-jurisdictional maritime operations.\nEvaluate the legal and liability implications of AI-driven engineering decisions.\nLead corporate “Ethics Committees” for maritime AI project approvals and oversight\n\nLearning Objectives\n\nInterpret classification society standards (e.g., DNV, Lloyd’s) for smart ship certification.\nApply ethical AI governance frameworks to ensure transparency and accountability.\nAssess compliance and assurance models for autonomous and semi-autonomous systems.\nDifferentiate between “Hard Law” (Regulations) and “Soft Law” (Ethical Guidelines).\nExplain the “Black Box” problem in AI decision-making to non-technical stakeholders.\nAnalyse the role of AI in Environmental, Social, and Governance (ESG) reporting for investors.\n\n
URL:https://silveragesolutions.co.uk/events/regulation-ethics-and-classification-standards-for-ai-in-marine-engineering/
LOCATION:Istanbul
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