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Cyprus EU Presidency Emphasizes Cohesion Policy For Economic Resilience

Setting A Focused Agenda

During the inaugural General Affairs Council on Cohesion Policy under the Cyprus EU Presidency, Finance Minister Makis Keravnos reinforced the pivotal role of cohesion policy in enhancing competitiveness and bolstering economic resilience across the European Union. In Brussels, Minister Keravnos highlighted the significance of Cyprus’ six-month tenure at the helm of the Council, marking a defining moment for strategic policy reform.

Cohesion Policy And Strategic Autonomy

Addressing colleagues upon his arrival, Keravnos stated, “It is a great pleasure for me to chair today’s meeting on Cohesion Policy, which is the first since Cyprus took over the Presidency.” He emphasized that an autonomous Union, open to the world, is built on the foundation of competitiveness and strategic economic resilience. This approach not only underscores the value of cohesion policy in the European agenda but also directly links it to the Union’s broader objectives of strategic autonomy.

Key Agenda Items And Future Directions

The Council’s discussions will center on two principal items. The first is the adoption of conclusions regarding cities and functional urban areas, which are seen as critical engines for economic, social, and territorial cohesion. The second focuses on the mid-term review of cohesion policy for the 2021-2027 programming period. This review aims to design stronger incentive frameworks and introduce greater flexibility for the next cycle, thereby ensuring closer alignment with the EU’s strategic priorities in a shifting economic and geopolitical landscape.

Toward An Enhanced Policy Framework

Experts anticipate that the meeting will further delve into bolstering the administrative and operational capacities of member states and regions. Additional discussions are expected to highlight targeted support for regions facing specific geographical and development challenges, including the EU’s eastern border areas. These measures aim to forge a more robust and agile policy framework, better equipped to navigate the uncertainties of the current global environment.

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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