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Resilient Tourism SMEs Gain Strategic Edge Through EU-Funded ReTour Programme

EU ReTour Initiative Overview

The EU-backed ReTour programme, a strategic initiative aimed at bolstering the resilience of small and medium-sized enterprises in the Mediterranean tourism sector, has commenced operations, including in Cyprus. Spearheaded by the School of Electrical and Computer Engineering at the National Technical University of Athens and announced by the Cyprus Sustainable Tourism Initiative (CSTI), the project underscores a commitment to counteract the challenges posed by an increasingly volatile environment.

Innovation, Technology And Strategic Adaptation

Supported by a €1.83 million budget under the Interreg NEXT MED programme, with 89% of funding provided by the European Union, ReTour is designed to equip tourism SMEs with the tools needed to navigate recurring crises, seasonal fluctuations, climate change and broader geopolitical uncertainties. Participating businesses will have access to cutting-edge technologies, including AI, the Internet of Things (IoT) and blockchain, alongside sustainable development practices. This resource-rich environment aims to modernize operations, strengthen decision-making and foster robust, future-proof business models.

Collaborative Framework And Implementation Roadmap

The 30-month initiative spans six countries: Greece, Cyprus, Jordan, Italy, Turkey and Lebanon. It brings together a consortium of nine primary partners and eight associated partners. In Cyprus, the University of Nicosia Research Foundation and CSTI are leading local efforts. The programme’s multifaceted approach includes comprehensive research, a digital knowledge-sharing platform in the form of an Innovation Centre, and tailored support for technology adoption. Pilot actions and customized implementation plans are complemented by efforts to strengthen human resource capabilities and organizational resilience.

Strategic Launch And Future Implications

The project was formally launched during a high-level meeting held on January 7–8, 2026, at the National Technical University of Athens. The gathering of regional stakeholders confirmed the initial action plan and set the stage for a coordinated response to evolving challenges in the tourism industry. As the programme progresses, it is expected to reshape the operational and competitive landscape for tourism SMEs, driving innovation and long-term sustainability across the Mediterranean.

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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