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Cyprus Urged To Streamline Oversight Of Public Projects Amid Risks Of Delay And Cost Overruns

Cyprus faces mounting pressure to enhance coordination and intensify monitoring of public projects to stave off delays and spiraling costs by 2028, warns Fiscal Council President Michalis Persianis. In a candid interview with the Cyprus News Agency (CNA), Persianis pinpointed systemic weaknesses in project oversight and accountability as core drivers of inefficiency.

Structural Weaknesses And Coordination Challenges

Persianis elaborated that although there are rational explanations for projects receiving continued funding despite appearing complete, the deeper issue is a pervasive lack of rigorous monitoring. The problem is particularly pronounced in multi-ministerial initiatives where fragmented coordination increases the risk of delays and budget overruns.

Lessons From The Private Sector

Drawing a parallel with private sector practices, Persianis highlighted that privately executed projects typically adhere to strict schedules and conduct monthly performance assessments. Such practices enable early detection of problems, offering an opportunity to address emerging issues before they escalate. As he noted, the absence of a similar framework in the public sector undermines efforts to monitor and supervise projects effectively.

Proposal For A Centralized Monitoring Platform

To remedy the current shortcomings, Persianis advocates for the establishment of a centralized mechanism supported by a dedicated platform that tracks project progress and expenditures monthly. This system, with its built-in coding that reflects both timeline adherence and budget status, would provide political leaders with real-time insights and early warnings when projects diverge from their planned paths.

Immediate Accountability And Fiscal Prudence

With overlapping responsibilities often clouding accountability, the establishment of a single, focused platform could designate clear ownership for each project. Persianis warned that interventions often come too late, as late-stage problems become politicized, thereby reducing the likelihood of pragmatic solutions. His assertive call for immediate action aligns with a broader fiscal imperative as the state budget for 2026 ushers in a period marked by economic optimism tempered with significant uncertainty.

Navigating Uncertainty In A Complex Environment

The 2026 state budget, though reflecting positive economic trends, underscores the critical need for vigilant monitoring given prevailing external and internal risks—including those associated with planned tax reforms. Persianis described the budget as fundamentally sound yet fraught with uncertainty, highlighting that inelastic expenditures offer little flexibility for reallocation. While a downward trend in public debt does provide some fiscal breathing room, the path ahead remains laden with challenges that necessitate cautious management.

In summary, the call for enhanced oversight in Cyprus is not merely a bureaucratic reform—it represents an urgent strategic adjustment necessary to ensure that public infrastructure projects are executed efficiently, transparently, and effectively in an increasingly complex fiscal 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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