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Economist Calls For Hotel Incentives To Support Cyprus Tourism

Safeguarding Cyprus’ Reputation

Tassos Yiasemides said Cyprus must maintain its position as a stable destination for tourism and investment as regional tensions continue. He noted that the country’s economy is strongly influenced by external factors, making it sensitive to geopolitical developments.

Optimizing Hotel Operations

Yiasemides said policies that support hotel operations could help sustain tourism activity during periods of uncertainty. Incentives for hotels to remain open, even with reduced staffing levels, could help maintain visitor confidence. Christos Zannetou also stressed the importance of keeping hotels operating during winter months. Continuous activity supports Cyprus’s tourism image and helps maintain employment in the sector.

Enhancing Economic Diplomacy And Inflation Controls

Yiasemides said Cyprus should strengthen economic diplomacy and tourism promotion to offset possible declines in visitor numbers from conflict-affected regions. Diversifying tourist markets could also reduce reliance on specific source countries.

Rising prices and higher energy costs remain additional challenges for the economy. The Cyprus Consumers Association has called for measures, including fuel subsidies, to support households and limit price pressures.

Addressing Energy Challenges And Long-Term Stability

Yiasemides also highlighted structural challenges in the energy sector. He said expanding renewable energy production and improving energy storage could strengthen supply stability. Other measures discussed include targeted support for vulnerable households and adjustments to certain consumption taxes. These steps could help mitigate the economic effects of higher energy and food prices. The proposals outline possible policy responses to current economic pressures affecting Cyprus.

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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