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Cyprus Amid Digital Payment Fraud: Modest Figures, High Impact

Overview Of A Rising Digital Threat

Recent data from the European Banking Authority, analyzed by BrokerChooser, reveals Cyprus as one of the 15 European countries most affected by digital payment fraud. Although the nation recorded relatively low absolute loss totals and fewer overall fraud incidents in the first half of 2023, the average loss per case was notably high.

Cyprus Under The Microscope

During the first half of 2023, Cyprus reported 9,164 cases of payment fraud with total losses reaching €2.8 million. Despite these modest figures relative to larger economies, each incident incurred an average loss of €311, ranking Cyprus 14th among 27 studied countries. This figure equates to the combined annual earnings of approximately 413 full-time workers, a stark indicator of the disproportionate financial impact on the island.

Dominant Fraud Vectors And Financial Implications

The analysis highlights that while fraudulent actions involving card issuers dominated the case count with 7,822 incidents, credit transfer fraud inflicted the gravest monetary damage, amounting to €1.3 million—over 45% of all reported losses in Cyprus. This trend is consistent with broader European patterns where digital payment fraud is on the rise.

European Trends And Expert Insights

Across the continent, fraudulent digital payment activities surged by 43% in 2024, driven by increasingly sophisticated techniques including the use of artificial intelligence. BrokerChooser’s report noted a staggering cumulative loss of €4.3 billion in 2022, with an additional €2 billion lost in the first half of 2023 alone. Among the Nordic countries, Finland led with an average loss per case of €593, followed by Iceland at €545, and Norway at €488. In contrast, southern European nations such as Portugal, Spain, and Italy experienced much lower average losses, with Portugal recording only €64 per case.

Call For Enhanced Vigilance And Financial Literacy

Adam Nasli from BrokerChooser commented on the findings: “With payment fraud inflicting heavy losses across Europe, the need for financial literacy and vigilance has never been greater.” His observations stress that even smaller economies are vulnerable to outsized impacts. As digital transactions proliferate, the report underscores the urgent need for robust safeguards and informed consumer practices.

Conclusion

Although Cyprus may face a lower volume of digital fraud cases, the significant financial impact per incident calls for enhanced security measures and increased fiscal awareness. In an era where digital transformation is accelerating, both policymakers and consumers must remain proactive to mitigate risks in the evolving digital landscape.

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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