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Strengthening Europe’s AML Defenses: AMLA Chair Bruna Szego Visits Cyprus

Enhancing Cross-Border Collaboration

Bruna Szego, Chair of the Anti-Money Laundering Authority (AMLA), embarked on a strategic visit to Cyprus as part of a broader tour across European Union member states. Hosted at the Central Bank of Cyprus headquarters, the trip underscored AMLA’s commitment to consolidating efforts against money laundering through closer coordination with National Competent Authorities (NCAs).

High-Level Engagements and Strategic Discussions

During her visit, Szego engaged in a series of high-level meetings, including a private discussion with Kleanthi Ioannidis, Cyprus’ permanent joint representative on AMLA’s General Council. She also met with senior officials from the CBC, including Executive Board Member George Karatzias and Pani Karamanou, Head of the Directorate for Financial Stability and Resolution.

Two roundtable discussions followed, drawing representatives from a diverse spectrum of NCAs across both financial and non-financial sectors, as well as key industry associations. These sessions provided a forum for candid discourse on the inherent challenges and new opportunities emerging from AMLA’s innovative approach to anti-money laundering protocols.

AMLA’s Strategic Vision

Throughout the discussions, Szego articulated AMLA’s short-term priorities and long-term vision, emphasizing the importance of harmonizing supervisory practices across member states. The dialogue also delved into current challenges, particularly the need for a unified framework in supervising financial entities with significant cross-border activities. This coordinated approach is critical as AMLA prepares to assume direct oversight over 40 financial obliged entities by January 2028.

Future Outlook

The strategic meetings in Cyprus serve as a pivotal step in fostering a unified European front against money laundering and terrorist financing. As AMLA continues to cement its regulatory framework—officially established following legislative approval in May 2024 and operational since July 2025—the collaborative efforts with national authorities, as demonstrated in Cyprus, are set to drive remarkable advancements in the financial sector’s integrity and resilience.

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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