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International Maritime Organisation Elects 40-Member Council To Shape Global Maritime Governance

Overview

The International Maritime Organisation (IMO) has unveiled its newly elected 40-member Council, underscoring a balanced representation of nations integral to global shipping, trade, and maritime regulation. This decisive move reinforces the IMO’s commitment to fostering international maritime collaboration.

Diverse Maritime Perspectives

The Council remains structured into three distinct categories. Category (a) comprises nations with major interests in international shipping services, including China, Greece, Italy, Japan, Liberia, Norway, Panama, the Republic of Korea, the United Kingdom, and the United States. In parallel, Category (b) brings together key players in global seaborne trade, with Australia, Brazil, Canada, France, Germany, India, the Netherlands, Spain, Sweden, and the United Arab Emirates at the forefront.

Cyprus’s Strategic Position

Positioned within Category (c), Cyprus alongside other nations such as Bahamas, Belgium, Chile, Egypt, Finland, Indonesia, Jamaica, Malaysia, Malta, Mexico, Morocco, Nigeria, Peru, the Philippines, Qatar, Saudi Arabia, Singapore, South Africa, and Türkiye, highlights those States with specific maritime interests. For Cyprus, this election solidifies its status as a prominent flag State and an influential participant in shaping maritime policy. The country’s Deputy Ministry of Shipping has consistently emphasized the critical nature of this representation for advancing priorities in safety, decarbonisation, and seafarer welfare.

Looking Ahead

As the Council prepares to convene for its 136th session on December 4, key decisions, including the selection of its Chair and Vice-Chair for the 2026–2027 biennium, lie ahead. Immediately following the Assembly, the newly elected Council will embark on its inaugural act: the appointment of its Bureau for the forthcoming two-year term, setting the course for continued strategic oversight in global maritime affairs.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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