Cross-Industry Liability Models: Legal Frameworks, Accountability Structures, and Risk Allocation in Robotic Automation for Vehicle Manufacturing and Maritime Autonomous Surface Ships (MASS)

This research paper, titled “Cross-Industry Liability Models: Legal Frameworks, Accountability Structures, and Risk Allocation in Robotic Automation for Vehicle Manufacturing and Maritime Autonomous Surface Ships (MASS)”, critically examines how the mature legal and insurance practices governing autonomous vehicle (AV) manufacturing—particularly in robotic production lines—can inform the regulatory evolution of MASS Level 4 vessels.Over the past two decades, automotive factories have widely adopted robotic automation supported by deterministic controls, traceable QA logs, and layered liability frameworks spanning OEMs, integrators, and operators. In contrast, MASS Level 4 ships—fully autonomous and uncrewed—are only beginning commercial operations, yet lack well-defined legal anchors for accountability, liability attribution, or risk allocation.This paper explores:• How product liability regimes, contractual indemnities, black-box logging, and cyber insurance used in AV factories can be adapted to unmanned maritime operations.• The operational divergence between AVs and MASS: automotive robots operate in controlled, geofenced environments, while MASS must navigate dynamic ocean conditions and complex international legal regimes.• The limitations of applying vicarious liability—successful in manned shipping and factory robotics—to AI-driven maritime incidents.• A legal re-mapping of traditional onboard roles (e.g., master, chief engineer) into assignable responsibilities for vendors, AI providers, and operators.• The urgency for hybrid liability models, AI explainability, fallback behavior logging, and risk certification to ensure legal defensibility.The paper integrates comparative frameworks (e.g., Waymo vs. Tesla autonomy, AV QA logs vs. MASS fallback decision logs) and draws real-world analogies to highlight regulatory gaps. Cultural and ethical implications are addressed, including the displacement of seafarers, trust in autonomous decision-making, and the human-in-the-loop debate—whether a safeguard or scapegoat.Ultimately, the paper proposes that with appropriately adapted legal and safety governance—rooted in industrial robotics but tailored for maritime realities—MASS Level 4 vessels can operate within a legally accountable, insurable, and globally recognized framework. The study calls on international bodies such as the IMO andclassification societies (e.g., DNV, ABS) to expedite the development of a MASS Code and role-based certification pathways.This interdisciplinary research bridges autonomous vehicle production and maritime technology, offering a structured roadmap to align law, AI systems, and operational safety in the era of unmanned shipping.