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Cyprus Research And Innovation Initiatives: New RIF Calls For Proof Of Concept And Enterprise Research

New Research Initiatives Fuel Innovation In Cyprus

The Cyprus Chamber of Commerce and Industry (Keve) announced two funding opportunities from the Research and Innovation Foundation (RIF), aimed at strengthening enterprise-driven innovation and expanding the industrial application of technology across Cyprus.

Empowering Enterprise Innovation Through Proof Of Concept

The Proof Of Concept programme focuses on evaluating the practical application of emerging technologies and specialised expertise. It enables businesses to test, validate, and refine solutions before moving toward full-scale implementation. This approach supports early-stage innovation while reducing risks associated with commercialisation.

Driving Business-Led Research And Development

The Research In Enterprises programme is designed to accelerate business-led research and development. Companies are encouraged to develop new products, services, and production methods or significantly upgrade existing ones. Such initiatives aim to enhance competitiveness and support long-term growth across key sectors of the economy.

Innovative Digital Collaboration Tools

As part of broader efforts to strengthen collaboration, RIF introduced MatchMe, a digital platform that connects businesses with research institutions. The tool facilitates partner discovery and supports cross-sector cooperation. This initiative reflects a shift toward a more integrated innovation ecosystem.

Engagement Through Information And Networking

To support participation, Keve, in collaboration with RIF and the Enterprise Europe Network, will host an information event on April 28, 2026, at 15:00 at the Keve building. The session will provide details on funding schemes and collaboration opportunities, offering practical guidance for organisations involved in research and innovation.

Registration And Future Prospects

Interested participants can register for the event by April 24, 2026. The initiatives are expected to strengthen links between business and research communities while supporting the development of commercially viable innovation in 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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