Artificial Intelligence is moving from shore‑based analytics into core shipboard systems: autonomous decision‑support for navigation, predictive maintenance engines, automated cargo‑stowage planners, and voyage‑optimization tools. As these systems become safety‑ and mission‑critical, shipping stakeholders are no longer asking "Can we use AI?" — they are asking: "How do we govern and audit it?"
Global frameworks are emerging fast. The challenge for shipping is turning these frameworks into practical audits on real vessels and real systems. Singapore Marine Agency positions itself in that gap — as a ground-level partner handling the heavy lifting of AI-system audits, risk-assessments, and control-effectiveness reviews in the marine and cargo space.
EU AI Act: Regulating High‑Risk AI on Ships
The EU AI Act is the first comprehensive legal-governance framework for artificial intelligence, relying on a risk-based classification (unacceptable, high, limited, minimal risk). In shipping, this particularly affects autonomous navigation and collision-avoidance systems, AI-driven voyage-planning platforms, and safety-critical decision-support systems integrated with bridge and engine-room alarms — all typically categorized as high-risk AI systems.
Where SGMA comes in: We support ship managers, charterers, and operators in document-level audits of AI-system technical files against AI Act-style checklists. Through dockside and onboard assessments, we verify whether "human oversight" actually exists on the bridge and in maintenance workflows.
NIST AI Risk Management Framework
The NIST AI Risk Management Framework (AI RMF) provides a vendor- and tech-agnostic way to govern AI throughout its lifecycle via four functions: Govern → Map → Measure → Manage. For shipping, this means establishing AI-ownership roles across shipowner, technical manager, software vendor, and flag state; mapping how AI systems sit inside voyage-planning and maintenance workflows; quantifying risks such as false-positive alarms and model drift; and embedding AI risks into existing SMS, ISM, and cybersecurity routines.
ISO 42001: An Auditable AI Management System
ISO/IEC 42001 is the world's first certifiable AI Management System (AIMS) standard. It encourages organizations to define AI-related policies, identify and mitigate AI-specific risks, implement controls over data quality, bias mitigations, transparency, and human oversight, and continuously monitor AI system performance.
Singapore Marine Agency functions as an independent, domain-aware audit partner, reviewing ship-specific AI-system controls against clause-6-style "context & risk evaluation" expectations and performing control-effectiveness checks in real operations.
Singapore‑Linked AI Governance: Innovation with Safeguards
Singapore leads with pragmatic, non-binding frameworks under National AI Strategy 2.0. The Model AI Governance Framework provides a risk-based testing toolkit (AI Verify) for transparency, fairness and robustness. Singapore actively shapes cross-sector AI governance, with an AI Assurance Framework planned for 2026 covering unified testing and ASEAN/cross-border standards.
From Policies to Portholes: Our Approach
Our typical AI-system audit and risk-assessment workflow includes scope definition of which ship systems use AI; document review checking AI-system documentation against EU AI Act checklists or ISO-42001 requirements; risk-and-control assessment mapping AI-related risks to existing SMS and cybersecurity controls; operational testing and staff interviews; and effectiveness-and-gap reporting with clear, actionable findings and recommendations.
Contact Singapore Marine Agency to discuss AI governance assessments for your vessels, fleet management systems, or port operations. Our team of maritime and cybersecurity professionals is ready to help you navigate the emerging landscape of AI regulation and auditability.