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Cyprus Embraces Digital Payments, Phasing Out Personal Cheques by 2026

Modernizing Public Payment Systems

Cyprus is set to transform its public payment infrastructure by discontinuing the acceptance of personal cheques for state payments starting January 1, 2026. This strategic move comes as the Treasury endeavors to establish a faster, more secure, and effective collection system that aligns with contemporary digital practices.

Addressing Long-Standing Inefficiencies

Officials have noted that traditional cheque processing has long been plagued by delays, inaccuracies, and rejections stemming from mundane errors or insufficient funds. Citizens often had to navigate repeated payment processes due to these inefficiencies, prompting a necessary shift towards streamlined digital solutions.

Implementing Secure and Instant Solutions

In lieu of personal cheques, the government will facilitate payments through direct and secure methods. These include bank cards used at cash desks, online transactions, and bank transfers, with support for instant payments that clear within seconds. Although banker’s drafts will remain available temporarily, they too are slated for eventual discontinuation, ensuring that the nation’s public financial network evolves with global best practices.

Maintaining Cash Transactions

While the digital transformation continues, cash transactions up to €10,000 will persist as a viable option, providing flexibility for those who prefer traditional payment methods. This balanced approach underscores Cyprus’s commitment to modernize public services without alienating segments of the population still reliant on conventional banking tools.

A Broader Vision for Public Service Modernization

The initiative is part of a larger governmental strategy to enhance public service delivery and resource management. By transitioning away from outdated cheque systems, Cyprus not only simplifies the payment process for its citizens but also reinforces its dedication to efficiency and transparency within the public sector.

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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