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Shaping the Future of Digital Enterprise: EU Launches SME Panel Survey

Introduction To A Pivotal Opportunity

The Enterprise Europe Network Cyprus, coordinated by the local chamber of commerce (Keve), has alerted Cypriot businesses to a significant opportunity. The initiative, part of the broader digitalisation agenda of the European Union, invites small and medium-sized enterprises to contribute to future digital policy design.

EU Commission Leads The Charge

Under the auspices of the European Commission, the SME Panel Digital Omnibus Survey 2025 has been launched to collect critical insights. The survey is intended to capture the digital challenges and prospects that businesses encounter, providing essential data to tailor forthcoming digital transformation policies.

Call For Active Participation

Christina Panayides, the Keve officer at Enterprise Europe Network Cyprus, emphasized the importance of this initiative. Cypriot businesses are encouraged to contribute their experiences and perspectives on digital tools, platforms, and technologies. Participants can access the survey at this link.

Impact On Policy And Business Dynamics

By sharing their insights, businesses will help pinpoint the digital obstacles and requirements crucial for successful digital transformation. The survey’s feedback will empower EU policymakers to devise targeted support measures that enhance competitiveness and innovation across the digital landscape.

Conclusion: Your Voice In The Digital Future

The survey is designed to be brief, straightforward, and ensures respondent confidentiality. It represents a unique avenue for business leaders to influence the future of EU digital policies, making each response a vital contribution to the evolving digital economy.

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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