Research and development in private law

Research and development in private law

Civil Liability Arising from Collisions Involving Unmanned Ships

Document Type : Original Article

Authors
Department of Law, Na.C., Islamic Azad University, Najafabad, Iran
Abstract
The emergence of unmanned ships has fundamentally reshaped the legal architecture governing civil liability in maritime collisions. While the removal of human navigators promises a reduction in conventional human error, reliance on complex computational systems, algorithmic decision-making, and remote-control infrastructures has generated new uncertainty regarding the attribution of legal responsibility. In this evolving setting, although the traditional role of the shipowner remains partially intact, established doctrines such as captain’s fault or crew negligence no longer reflect the operational reality of autonomous maritime systems. Accordingly, the legal status and potential liability of remote operators and artificial intelligence developers require renewed doctrinal interpretation and regulatory refinement.

This study, employing a descriptive–analytical methodology and examining the compatibility of Maritime Autonomous Surface Ships (MASS) with the International Regulations for Preventing Collisions at Sea (COLREGs), proposes two differentiated models aligned with the vessel’s level of autonomy. For remotely controlled vessels, a Dynamic Liability Framework is advanced, in which liability is distributed according to the decision point and allocated sequentially among the shipowner, remote operator, and AI developer. Conversely, for fully autonomous vessels, Strict Liability with Right of Recourse is identified as the more appropriate model: the shipowner remains strictly liable toward third parties but may recover losses from the AI developer where a software defect, cyber vulnerability, or algorithmic malfunction can be demonstrated. Together, these models seek to balance effective victim protection with the maintenance of innovation incentives in the autonomous maritime sector.

The research ultimately concludes that traditional fault-based regimes are structurally inadequate for addressing the distributed and data-driven nature of decision-making in unmanned navigation. Ensuring legal fairness in the autonomous era requires a reconceptualization of foundational maritime doctrines—including the definition of the “responsible actor”—in light of algorithmic agency and system-based liability. Future reform should include competency standards for remote operators, certification schemes for maritime AI developers, expanded P&I coverage addressing cyber and algorithmic risks, and regional or international technological compensation funds. Only through such coordinated legal and institutional adaptation can maritime law effectively govern liability in the era of unmanned navigation.
Keywords
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