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RIF Unveils €45.3 Million In 2025 Funding Calls To Boost Innovation

The Research and Innovation Foundation (RIF) has announced its main funding calls for 2025, with a total budget exceeding €45.3 million. The funding aims to strengthen Cyprus’ research and innovation ecosystem through targeted programs supporting business innovation, knowledge transfer, and international collaboration.

For the first time, RIF will provide funding for establishing production lines for innovative products and developing AI-driven solutions to address public sector challenges. Additionally, the Fast-Track Innovation program will accelerate the commercialization of new products and services.

Funding Priorities

The 2025 funding programs align with RIF’s five strategic pillars:

  • Research
  • Knowledge Transfer and Collaboration
  • Innovation
  • Internationalization
  • Infrastructure and Capabilities

Planned Calls by Quarter

Q1 2025

  • Innovate
  • Seed
  • Innovation Support Structures
  • New Product Development – Capacity Building
  • STEP – Setting up facilities and production lines for manufacturing innovative products/services
  • Fast-Track Innovation
  • European Partnership – EUROSTARS
  • Vision ERC
  • Horizon Europe – 2nd Opportunity – MSCA
  • AI in the Public Sector
  • R&I Internships
  • Events Sponsorships

Q2 2025

  • Research in Enterprises (ENTERPRISES)
  • Proof of Concept
  • Excellence Hubs (EXCELLENCE)
  • Post-Doc Fellowships
  • Cybersecurity Capability Enhancement

Q4 2025

  • BRIDGE2HORIZON

Further details on funding eligibility, proposal submissions, and deadlines are available on the RIF website.

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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