http://scholars.ntou.edu.tw/handle/123456789/194 2026-06-15T11:53:20Z http://scholars.ntou.edu.tw/handle/123456789/26557 標題: 船舶所有人於海商法第62條、第69條及第70條第2項之解釋 作者: 饒瑞正 摘要: 甲為我國籍貨櫃船「長輝輪」船舶所有權人與乙訂有光船租賃契約（bareboat charter）。乙於租賃期間經營船舶運送業，將「長輝輪」布署於遠東至美西往返固定航線。乙復與丙就貨物一批訂定固定航線貨物運送契約，從洛杉磯港至高雄港。受僱於乙的值班船副丁因不適任而操船過失致船舶擱淺及該批貨物毀損。試問：甲是否為海商法第62條適航性義務、第69條法定免責事由及第70條第2項單位限責權之適用主體？ 2025-11-01T00:00:00Z http://scholars.ntou.edu.tw/handle/123456789/26556 標題: Artificial intelligence in negotiating energy production and other interests in marine spatial planning-managing transparency and bias 作者: Jao, Juei-Cheng; Chuah, Jason C. T. 摘要: The placement of offshore energy production units and structures (such as pipelines) will invariably come within the scope of any prevailing marine spatial planning (MSP) regime. There is increasing reliance on AI to ensure precision in placement. The data generated in many instances would be adopted by the authorities in implementing any applicable marine spatial plan. However, where there are many competing socio-economic and legal interests in the marine space, the use of AI by offshore energy corporates might well produce bias, whether intentional or not. This work maps out the risks of bias in this offshore energy and MSP context. It asks whether a liability system scheme like the EU AI Law could work. It concludes with thoughts on how, from a legal and regulatory perspective, spatial data sharing and AI used in an MSP context for offshore energy could be improved. 2026-01-01T00:00:00Z http://scholars.ntou.edu.tw/handle/123456789/26555 標題: Greening the Maritime Sector Through Autonomous Shipping: Rethinking Safety, Liability, and Regulatory Frameworks 作者: Jao, Juei-Cheng; Alvi, Muhammad Hanzla 摘要: This article examines the intersection between maritime decarbonization and the rise of Maritime Autonomous Surface Ships (MASS). International shipping contributes nearly three percent of global greenhouse gas emissions, making technological innovation essential to meet the International Maritime Organization (IMO)'s 2023 Greenhouse Gas Strategy and net-zero ambitions. MASS, powered by artificial intelligence, offer opportunities for fuel optimization, emissions reduction, and digital efficiency. Yet, their deployment exposes profound legal gaps. Existing conventions-such as the International Convention for the Safety of Life at Sea (SOLAS), the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS), the International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW), and the Convention on Limitation of Liability for Maritime Claims (LLMC)) 1976 (Convention on Limitation of Liability for Maritime Claims (LLMC) 1976)-were drafted for crewed vessels, leaving unresolved questions about safety oversight, cybersecurity resilience, and liability allocation among shipowners, artificial intelligence developers, and Remote Control Centers. Through case studies such as the Wakashio and comparative insights from oil pollution, nuclear liability, and aviation law, the article demonstrates how fragmented liability regimes risk either under-compensating victims or over-deterring innovation. It argues for proactive reform: extending limitation rights conditionally to new stakeholders, redefining recklessness standards, mandating insurance, and potentially establishing international compensation funds. The study concludes that only by recalibrating legal frameworks can MASS become a catalyst for a greener, safer, and more equitable maritime future. 2026-03-01T00:00:00Z http://scholars.ntou.edu.tw/handle/123456789/26088 標題: 自由開講》建立台灣的海域意識體系 發展即時分析的「海洋態勢感知平台」 作者: 饒瑞正 2025-11-05T00:00:00Z