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Cyprus HR Development Authority Ushers In New Era For Self-Employed Professionals

The Cyprus Human Resource Development Authority has extended access to subsidised vocational training programmes to self-employed professionals. The change allows participation in schemes that were previously limited to employees, expanding the scope of workforce development initiatives. Constantinos Fellas, Chairman of Anad, said the reform addresses a long-standing gap in access to training for this group.

Historic Reform And Equal Access To Training

Effective from April 6, the framework introduces eligibility for self-employed workers across multiple sectors. For years, participation in subsidised training was restricted to employees, leaving self-employed professionals outside the system. By extending eligibility, the new structure enables access to programmes aimed at skills development and professional advancement, aligning training opportunities more closely with the composition of the labour market.

A Structured Approach To Integration

Under the updated model, self-employed individuals contribute 0.5% of their insurable earnings, a rate comparable to contributions made by employers. Collection is integrated into existing social insurance payments, creating a single process for contributions and access. Registration takes place through the Ermis electronic portal, where applicants select a profile as either self-employed or employer before proceeding with programme applications.

Broadening Opportunities And Enhancing Competitiveness

Based on 2024 data, approximately 31,000 self-employed workers are expected to be eligible. Coverage spans sectors including retail, professional services, healthcare, technical trades, and construction. Funding levels vary by programme. Standard training is supported with grants of up to €20 per hour, while programmes classified as priority may receive up to €100 per hour. Additional support is available for training abroad, including tuition, travel, and accommodation costs.

Economic Impact And Future Prospects

Expanded access allows self-employed professionals to participate in structured training aligned with sector-specific needs. In practice, this may include acquiring digital skills, upgrading technical certifications, or adapting to new regulatory and operational requirements. Such participation links individual skill development with broader labour market demands, supporting productivity and business activity across sectors.

Implementation And The Path Forward

Successful implementation depends on awareness, registration, and timely application to available programmes. Clear guidance on procedures and eligibility will influence participation levels among self-employed workers. As labour market requirements continue to evolve, uptake of the scheme will determine its role in supporting workforce adaptation and skills development.

Conclusion

Inclusion of self-employed professionals extends the reach of subsidised training programmes in Cyprus. Integration into existing schemes introduces a broader participant base and may influence future workforce development outcomes.

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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