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Cyprus At The Forefront Of EU Anti-Fraud Reforms Ahead Of 2026 Council Presidency

Strategic Dialogue With European Anti-Fraud Authorities

Cyprus is intensifying preparations for its upcoming EU Council Presidency by engaging in high-level discussions on strengthening the bloc’s financial-protection framework. Finance Minister Makis Keravnos recently met with Salla Saastamoinen, Deputy Director-General of European Anti-Fraud Office (OLAF), to shape negotiations on revising the European anti-fraud architecture and the forthcoming Multiannual Financial Framework (MFF 2028–2034).

Reinforcing Financial Oversight and Taxpayer Protection

During the meeting, discussions covered a range of issues critical to safeguarding European taxpayers’ funds. As Cyprus prepares to assume the presidency in the first half of 2026, Keravnos stressed her country’s pivotal role in ensuring that stringent measures are central to the new MFF. He underscored that protecting European citizens’ resources remains the top priority, highlighting initiatives such as the deployment of digital tools, educational campaigns, and cutting-edge artificial intelligence solutions. This approach, combined with a national anti-fraud strategy scheduled for release in June 2026, aims to reinforce EU-wide efforts against financial irregularities.

Strengthening Collaborative Mechanisms

Saastamoinen conveyed key directives on behalf of Commissioner Serafin, emphasizing the EU’s unwavering commitment to combating fraud. She expressed optimism about Cyprus’ potential to leverage the EU’s anti-fraud program, especially at a time when comprehensive oversight is more critical than ever. “I am very happy to be visiting Cyprus, particularly at such an important juncture,” she stated, adding that she looks forward to the Cypriot presidency advancing these crucial reforms. Her remarks resonated with a shared vision of enhanced cooperation between OLAF and the European Public Prosecutor’s Office (EPPO), as both entities seek to fortify transparency and accountability within the EU budget.

Looking Ahead

Both parties agreed to maintain close collaboration as Cyprus approaches its presidency. By capitalizing on innovative technologies and a resolute policy framework, Cyprus is set to play a decisive role in the evolution of the EU’s financial safeguarding mechanisms, ensuring that fiscal resources are managed with impeccable integrity and transparency.

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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