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Are Autonomous Shipping Operations Legally Liable? A New Framework Of Maritime Law In The Age Of Artificial Intelligence




Adv. Adarsh S R, Bharata Mata School of Legal Studies, Aluva

Adv. Sajana A S, Bharata Mata School of Legal Studies, Aluva

Saniya M Shaju, Bharata Mata School of Legal Studies, Aluva


ABSTRACT


The emergence of Maritime Autonomous Surface Ships (MASS) that are Artificial Intelligence-enabled is revolutionizing the maritime sector, bringing in more efficiency, safety and cost-effectiveness. Nevertheless, the technological change undermines the current system of maritime liability, which is based on human error, carelessness, and responsibility. In this paper, the insufficiency of the current legal principles to deal with the liability issues caused by autonomous shipping is discussed, especially because of the lack of the human agency, the complexity of AI decision-making, cybersecurity threats, and regulatory gaps. It compares new models of liability such as strict liability, product liability, joint responsibility and approaches through insurance and also brings to the fore the changing role of international regulatory bodies. The paper proposes the reform of the legal framework to include risk-based liability, improved disclosure, and renewed international laws to hold people accountable and equitable in the era of AI-assisted maritime activities.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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