Breaking news

AI For Public Sector Innovation: A New Funding Initiative By RIF

The Research and Innovation Foundation (RIF) has recently announced a public consultation for its groundbreaking initiative, “AI in Gov’t.” This ambitious program is designed to foster innovative artificial intelligence (AI) solutions specifically addressing the unique challenges faced by public sector entities.

This consultation seeks insights and feedback from various stakeholders to refine and shape the program’s objectives and methodologies. Interested parties can access detailed information about the proposed funding scheme and are encouraged to submit their feedback and suggestions by the submission deadline on May 14, 2025, at 13:00.

The responses will remain confidential and serve as a valuable resource in creating a program that meets the dynamic needs of both the public sector and the market. Stay updated on related technological insights with articles like The Transformative Potential Of AI: Could It Shape The Global Economy By 2035?.

Learn more about the intersection of AI and government initiatives—this could be a pivotal moment for the tech landscape in Cyprus and beyond.

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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