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Cyta Selects Giorgos Metzakis As CEO Candidate From Five Finalists

Giorgos Metzakis has been selected as the leading candidate for the CEO role at Cyta following a selection process involving five finalists, according to reports. The appointment has not been officially confirmed and remains subject to government approval.

Insight Into The Selection Process

Cyta’s board interviewed five candidates as part of the selection process. An independent partner oversaw the evaluation to ensure transparency. The process focused on identifying a candidate based on experience and leadership criteria. Metzakis emerged as the board’s preferred choice.

Pending Governmental Approval

Final appointment requires approval from the Council of Ministers, in line with Cyta’s governance structure. No official confirmation has been issued by the organization. The process is currently in its final stage, pending formal approval. Further announcements are expected following the government review.

Context Of A Leadership Transition

The CEO position became vacant after Andreas Neokleous stepped down in August 2025. He had held the role since January 2019. The vacancy was formally announced in November 2025, initiating the current selection process. Leadership transition remains a key development for the organization.

Outlook

The appointment will determine Cyta’s leadership direction in the coming period. Market conditions and strategic priorities will shape the company’s next phase.

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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