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Cyprus HRDA Launches Pivotal EU-Funded Training Initiative for NEETs

The Human Resource Development Authority of Cyprus (HRDA) has embarked on a major initiative aimed at transforming the prospects of young people classified as NEETs (not in education, employment, or training). Through a public tender process, HRDA has formalized an agreement with the M.M.C Management Center Ltd and EDITC Ltd Consortium to implement comprehensive training programmes across Cyprus.

EU-Funded Programme Under the Cohesion Policy

The project, entitled “Training Programmes For Young People Not In Education, Employment Or Training (NEETs),” is executed under the Cohesion Policy Programme “Thalia 2021-2027” and benefits from co-funding by the European Union. The initiative is set to reach 2,800 young individuals across all provinces, with a target completion date of October 15, 2028.

Comprehensive Curriculum Designed For Modern Workforce Demands

The training modules have been meticulously designed to cover essential areas, ranging from fundamental linguistic and mathematical proficiency to advanced horizontal skills. These horizontal competencies include communication, problem-solving, critical thinking, teamwork, time management, creativity, interpersonal relations, as well as practical job-related skills such as curriculum vitae preparation and interview techniques.

Eligibility And Support Measures

The programmes are open to individuals aged 15 to 29 who are registered as NEETs and are currently listed as unemployed in the register maintained by the Public Employment Service (PES) of the Ministry of Labour and Social Insurance. Importantly, participants will not bear any costs for the training. In addition to receiving a training allowance, they will also be provided with supplemental financial support to cover travel and other related expenses.

Driving Economic and Social Transformation

This initiative is not only a significant move towards enhancing the employability of Cyprus’s youth but also reinforces the country’s commitment to fostering inclusive growth and social development. By equipping young people with essential skills and competencies, the programme positions them to navigate the evolving demands of the modern labour market.

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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