Redefining seaworthiness for the hybrid age

High-consequence incidents, such as the collapse of Francis Scott Key Bridge in Baltimore in March 2024, when the container ship Dali lost power and struck a main support span, underline how a single maritime collision can cause tragic loss of life and massive financial and systemic repercussions. That accident alone is estimated to have caused USD 2-4 billion in insured losses, disrupting one of the US’s busiest ports and sending ripple effects through global supply chains.

Reducing risk has become a central priority for shipowners, operators, regulators, and insurers. Traditional safety frameworks- compliance with COLREGs (Convention on the International Regulations for Preventing Collisions at Sea), vigilant watchkeeping, and continuous crew training- are still essential but cannot always prevent fatigue, distraction, or misjudgment on the bridge.

As digital systems become part of daily bridge operations, the foundations of what “seaworthy” means are evolving.

Rethinking seaworthiness for the hybrid age

This is where AI-enabled navigation begins to show value in helping to reduce risk. Over a two-year period, vessels equipped with AI-powered situational awareness platforms experienced measurable improvements in operational safety, with fewer close-encounter events and a decline in sharp manoeuvres.  With deployments now live on commercial vessels in busy regions, AI-assisted bridge systems have moved from trial to reality. But as adoption grows, so does the challenge of updating laws, insurance, and operational frameworks for a hybrid human-machine environment.

Historically, seaworthiness focused on the vessel’s physical condition, compliance, and crew competency. Modern risk management now depends not just on hardware and human skill, but also on whether bridge teams have actionable, timely support from digital systems. AI situational awareness tools help reduce collision risks, highlight COLREGs-relevant scenarios, and provide monitoring in low-visibility and high-density traffic.

Seaworthiness may require a cognitive lens: does the bridge team have the info and alerts needed to manage fatigue and distraction? Vessels may comply on paper yet be more at risk without digital decision support. This has implications for insurers, regulators, and courts, as the benchmark for “reasonable care” evolves. As AI systems show tangible risk reduction, expectations of seaworthiness will inevitably change.

Risk transparency through traceability

A major development in AI-enabled navigation is not just in real-time safety, but in detailed event recording. An advanced situational awareness platform can combine high-fidelity optical and thermal vision with Radar, AIS, and GPS to detect close-quarters situations, erratic maneuvers, and visibility challenges. Crucially, every event is time-stamped and stored, creating an objective record of what was seen, when alerts were issued, and how the crew responded.

This evidentiary trail goes beyond insurance needs; it is a risk-management asset for incident reconstruction and analysis, providing feedback for managers and trainers to spot and address patterns, e.g. recurring fatigue-related errors. Instead of anecdote, companies gain reliable datasets on how risks emerge and are handled. Over time, data-driven insights strengthen investigations and inform best practices.

As hybrid operations become the norm, transparency is now foundational for credible risk reduction, ensuring emerging technologies reinforce seamanship with measurable evidence. Nowhere is the shift to objective records more vital than in demonstrating compliance with COLREGs, the backbone of navigational safety.

COLREGs: from reconstruction to real-time reinforcement

Compliance with COLREGs is the cornerstone of navigation safety and liability. Yet proof of adherence once relied on incomplete sources: Radar plots, differing witness accounts, or limited VDR data.

AI-powered bridge systems change this paradigm. While they don’t replace officer judgment or automate decisions, they reliably detect when specific rules are triggered and issue timely alerts in overtaking, crossing, or head-on scenarios. In dense traffic or low visibility, this reinforcement provides a safeguard against fatigue or delayed reactions.

Importantly, these interactions are logged, making COLREGs compliance a verifiable fact rather than a matter of debate. The framework has moved from post-incident analysis to real-time safety support, reducing collision risks and clarifying incidents.

Navigational rules are now embedded operationally, ideally yielding fewer disputes, more predictable outcomes, and fewer accidents.

The role of insurers: From passive underwriters to risk mitigation partners

Insurance has traditionally relied on static proxies like vessel age, class, flag, and incident history, which say little about daily operational risk management.

With AI providing operational data, reductions in close encounters, compliance evidence, fatigue management—insurers can now recognize and reward proactive risk reduction. Instead of only reacting to claims, they can encourage preventive measures.

This approach mirrors progress in aviation and road transport, where data-driven risk models shape premiums and safety incentives. In the maritime sector, owners investing in proven tech may see tangible financial benefits. Industry bodies like IUMI note that as AI-driven safety improves, claims and premiums will respond in kind.

Insurers are thus active partners in promoting safety, rather than passive observers of digital transformation.

The case for confidence

Thousands of close encounters occur daily in shipping, representing the industry’s exposure to risk. AI-enabled situational awareness is already helping bridge teams see more clearly, respond more decisively, and learn from experience.

By broadening the definition of seaworthiness to include cognitive safety, embedding traceability, and aligning insurers with operators around prevention, the industry can shift from compliance to confidence in daily operations.

The aim is to reinforce, not replace, human skill, relieving crews of unnecessary workload, reducing fatigue, and providing clarity in complex navigational situations. The result: fewer disputes, and most importantly, fewer incidents.

By making digital safety systems integral to risk management, shipping can evolve to a future where risk is systematically reduced, fostering confidence, trust, and safer seas.