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Thousands Of Overdue Cyprus Tax Cases Expire, Resulting In Millions In Lost Revenue

Fiscal Oversight Failure Threatens Public Funds

Cyprus is facing a significant loss in tax revenue as thousands of cases fall outside the statutory timeframe for assessment. According to the latest audit service report, the state risks forfeiting millions in unpaid taxes, undermining fiscal discipline and governmental funding.

Expired Assessments Undermine Revenue Collection

The audit revealed that 139,078 individual tax cases from 2014 to 2017 can no longer be assessed or amended due to lapse in the legal timeframe of the superintendent’s jurisdiction. Corporate liabilities are similarly affected, with an additional 6,070 outstanding taxes from the same period rendered unenforceable. This statutory expiry highlights the critical need for timely audits and due diligence in tax administration.

Widening Gap in Tax Compliance

The report further indicates that numerous taxpayers with taxable income, yet to file their returns, are not factored into current pending tax assessments. This omission compounds the risk of missed revenue, placing additional pressure on fiscal management and policy enforcement.

Declining Trends In Tax Assessments

In a concerted effort to eliminate arrears, the tax department issued 789,519 assessments in 2024, a decrease from 943,413 in 2023 and 905,967 in 2022. Despite these efforts, between 12,254 assessments for the years 2014–2016 issued in 2023 and 11,428 for 2014–2017 issued in 2024 have lapsed under legal constraints. Such delays predominantly affect legal entities, accentuating the need for a streamlined approach to audit and collection practices.

Call For Enhanced Scrutiny And Prompt Action

Critics argue that many assessments from the past two years were imposed without adequate auditing or income adjustments. With high-risk sectors such as construction and land development, along with businesses suffering prolonged losses, under scrutiny, it is imperative that the tax authority re-evaluates its processes. Prioritizing high-risk cases and ensuring assessments occur within the legal timeframe is vital to safeguarding public funds and bolstering fiscal integrity.

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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