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Cyprus Proposes New Credit Scoring System And Data Sharing Reform

Cyprus Ministry of Finance has submitted a package of seven amendment bills aimed at restructuring how credit data is shared and introducing a unified credit rating system for individuals and businesses. Proposals are currently under review by the Parliamentary Committee on Finance.

Unified Credit Data Exchange Framework

Reform is part of a broader effort to modernise financial infrastructure and improve data exchange between credit institutions. Changes cover key areas including banking operations, consumer credit, mortgage agreements, credit management, finance leases and the sale of credit facilities. This initiative is also linked to the Recovery and Resilience Plan, aligning financial sector reforms with wider economic policy.

Advanced Credit Rating Mechanism

A central element of the proposal is the creation of a single credit score for borrowers. The system will use financial data from the past 24 to 36 months to assess the likelihood of default over the following 12 months. This approach is expected to improve lending decisions and support a gradual reduction in non-performing loans.

Empowering Regulatory Oversight And Data Security

Oversight will be assigned to the Central Bank, which will set operational rules, monitor compliance and impose penalties where needed. The framework also includes provisions on data protection and banking confidentiality, developed in coordination with the Office of the Commissioner for Personal Data Protection.

Structured Data Submission And Access Controls

Proposed legislation defines which entities must submit data and which can access it, introducing a tiered system based on operational needs. Participants will include banks, credit management companies and finance lease providers, all operating under defined conditions.

Reforms aim to simplify existing regulations and reduce overlaps between current laws, as Cyprus moves to modernise its credit system. Lawmakers are expected to review the package ahead of a vote before Parliament dissolves ahead of elections.

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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