Regulating AI-Enabled Marine Autonomous Systems to Advance Climate-Resilient Ocean Governance Under International Law
DOI:
https://doi.org/10.30659/icls.v5i0.50416Keywords:
Change, Climate, Equity, Governance, Marine.Abstract
Climate change is rapidly transforming marine ecosystems and ocean governance, while Artificial Intelligence (AI) is increasingly deployed as a critical tool for monitoring, managing, and regulating marine space. AI-enabled technologies—such as autonomous vessels, underwater drones, predictive analytics, and algorithmic surveillance—are now used to address climate-related challenges including ocean warming, illegal, unreported and unregulated fishing, biodiversity loss, and maritime safety. Despite their growing importance, international legal frameworks, particularly the United Nations Convention on the Law of the Sea (UNCLOS), remain poorly equipped to regulate the environmental, jurisdictional, and accountability implications of AI-driven activities in marine spaces.This article identifies a significant regulatory gap at the intersection of climate change, AI governance, and the law of the sea: the absence of a coherent legal framework governing responsibility, transparency, and equity in the deployment of AI-enabled marine systems. As climate change accelerates environmental degradation and alters maritime boundaries and resource distribution, unregulated AI use risks intensifying environmental harm, jurisdictional disputes, and technological inequality—especially for climate-vulnerable coastal and small island States such as the Maldives.The article argues that existing international legal obligations relating to marine environmental protection, due diligence, and international cooperation can be reinterpreted to encompass AI-mediated activities in marine space. Through doctrinal analysis of UNCLOS, international environmental law, and emerging AI governance norms, the article examines state responsibility, liability, and environmental impact assessment obligations applicable to autonomous maritime systems. It proposes a normative framework that integrates climate obligations, precaution, transparency, and equitable access to AI technologies, contributing to climate-resilient and just ocean governance in an era of rapid technological and environmental change.
References
Adebisi, B. R. (2024). Algorithmic Accountability in Maritime Jurisdictions. Journal of International Maritime Law, 12(2), 45-67.
Ahmed, A., & Wengo, S. (2025). Navigating the Legal Voids: AI and SIDS. Maldives Law Review, 8(1), 102-120.
Beckman, R. (2021). UNCLOS and the Challenge of Autonomous Ships. Ocean Development & International Law, 52(3).
Chircop, A. (2020). The Regulation of MAS: A Law of the Sea Perspective. Ocean Yearbook, 34(1).
Folorunsho, S. (2024). Climate Justice and Technological Equity. African Journal of Legal Studies, 16(4).
Hildreth, R. G. (2023). Ocean Governance and Climate Change. Coastal Management, 51(2).
Kraska, J. (2020). The Law of Unmanned Naval Systems. Naval War College Review, 73(3).
Liu, N. (2022). Autonomous Ships and the Protection of the Marine Environment. RECIEL, 31(2).
Mundi, G. (2023). AI-Enabled Monitoring of IUU Fishing. Int. Journal of Marine & Coastal Law, 38(1).
Papanicolopulu, I. (2021). The Human Element in the Law of the Sea and AI. JMLC, 42(4).
Veal, R., & Tsimplis, M. (2019). Unmanned Ships in the International Regulatory Framework. LMCLQ, 2019(1).
Walker, T. R. (2023). AI for Marine Plastic Pollution Tracking. Marine Pollution Bulletin, 186.
Xue, G. (2022). Cooperation in the South China Sea: AI and Environment. APJOLP, 7(1).
Yang, H. (2021). State Responsibility for Damages Caused by AUVs. JEAL, 14(2).
Books:
Gullett, W. (2022). Marine Autonomous Systems and Environmental Protection. Marine Policy, 138.
Rayfuse, R. (2021). Climate Change and the Law of the Sea. CUP, 29(1).
Ringbom, E. (2020). Regulating Autonomous Ships—Concepts and Challenges. ODIL, 51(2).
Roland, P. (2023). The Ethics of AI in Deep Sea Exploration. ESEP, 23, 45-59.
Sanni, T. (2024). Blue Economy and AI: A Framework for Maldives. JSAL, 15(3).
Tanaka, Y. (2023). The Interpretation of UNCLOS and Technology. IJMCL, 38(2).
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