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Maritime Fatalities Among EU Vessels Slightly Increased In 2024, Data Shows

Recent figures published by Eurostat reveal a modest rise in maritime accident fatalities involving EU-registered vessels, with 13 crew members losing their lives worldwide during 2024. Data was derived from reports submitted by EU member states, as well as Iceland and Norway, to the European Maritime Safety Agency (EMSA).

Regional Analysis Of Maritime Incidents

All fatalities involving EU-flagged ships occurred within EU territorial seas. In addition, nine individuals were killed in EU waters in accidents involving ships registered outside the bloc. Notably, within the EU waters, the Atlantic Ocean accounted for seven deaths, the Mediterranean for five, and the North Sea for one, while the Baltic Sea, Black Sea, and English Channel registered minimal or zero fatalities.

Trends And Vessel-Type Insights

Between 2020 and 2024, EU-flagged vessel accidents averaged 19 fatalities per year. After a post-pandemic surge peaking at 29 deaths in 2022, fatalities dipped to 11 in 2023 before a slight rise in 2024. Trends for non-EU ships saw a dramatic fluctuation, peaking at 22 passenger and crew deaths in 2023 before declining to nine in 2024. Notably, fishing vessels were the primary contributors to the 2024 fatality count, accounting for nine of the deaths, in contrast to prior years which exhibited significantly lower incident rates among fishing fleets. Passenger vessels and cargo ships each reported two fatalities, while inland waterway, recreational, and service ships continued to record minimal losses.

Data Reporting And Compliance Framework

The comprehensive dataset covers accidents involving EU-registered vessels across all ocean regions, whereas the figures for non-EU ships are limited to incidents in EU territorial seas. Cyprus, a prominent EU open registry, contributes to these numbers through mandated reporting via the European Marine Casualty Information Platform (EMCIP) under Directive 2009/18/EC and Regulation 376/2014. The island’s Marine Accident and Incident Investigation Committee (MAIC) has published several high-profile fatality reports, including investigations into incidents involving the SWE-Carrier and the Cyprus-registered bulk carrier EVNIA, as well as the 2024 mooring-line accident on the FIONA B vessel. These reports underscore a rigorous regulatory framework and a commitment to maritime safety that is critical to industry stakeholders.

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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