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Top Kinisis To Review First-Half Results In September

Top Kinisis Travel Public Ltd will review its financial performance for the first six months of 2026 at a board meeting scheduled for September 23. Directors will examine the company’s unaudited consolidated results for the period.

Shareholders Approved 2025 Dividend

The upcoming meeting follows the company’s annual general meeting, held at its Strovolos headquarters on June 11. Shareholders approved the consolidated financial statements for 2025 and a dividend of €0.01 per ordinary share, amounting to €122,120.11 in total.

The dividend was scheduled for payment on July 24 to shareholders registered with the Cyprus Stock Exchange as of June 26. Investors had to complete their purchases by June 24, with the shares trading ex-dividend from June 25.

Board And Audit Decisions

Shareholders also re-elected Elena Tanou, Constantinos Kakkouras, Nicolaos Pissas and Panayiotis Papanicolaou to the board after their formal resignations.

Board members will receive €100 per meeting, while the chairman’s fee was set at €150. Baker Tilly was also re-appointed as the company’s auditor until the next annual general meeting, with the board authorised to negotiate its fees.

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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