Breaking news

Revolutionary Tax Reform Sets the Stage for Economic Resilience

In a landmark decision, the Parliament has approved a comprehensive tax reform designed to forge a fairer, more modern, and competitive fiscal system. In a televised address, Nikos Christodoulidis announced that the transformation will substantially reduce the tax burden and enhance disposable income for citizens.

Clear Government Strategy and Vision

The Head of State underscored that, from day one in office, the administration has pursued a meticulously crafted plan with explicit priorities and a robust ideological framework rooted in social liberalism. This strategic focus aims to build a state that is not only economically potent, but also socially responsive and resilient.

Modernization Through Structural Reforms

The President emphasized that a central tenet of the new government is the modernization of a system rooted in the 1960s. By implementing bold structural reforms, the initiative targets long-standing inefficiencies, enhances transparency, and rebuilds the bond of trust between the state and its citizens.

Boosting Disposable Income and Competitiveness

The tax reform emerges as a pivotal milestone for the nation’s future. Key elements include setting an untaxed income threshold at €22,000 and introducing additional deductions tailored to household composition—up to an extra €10,000 for families with two children. Moreover, the policy reduces the dividend tax from 17% to 5%, creating an attractive fiscal environment for business investments and supporting enterprises across the country.

Balancing Social Justice With Economic Competitiveness

This reform not only supports families and strengthens the middle class, but it also enhances the daily lives of citizens by realigning the balance between social justice and economic competitiveness. By easing the tax load and increasing available income, the government is poised to drive growth and investment across multiple sectors.

Conclusion: A Promising Future for Citizens

With reliability, institutional gravitas, and targeted reforms, the government is effecting changes that promise to benefit households, families, the middle class, and businesses alike. The new tax framework represents a forward-thinking vision for a modern, equitable economy.

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.

eCredo
The Future Forbes Realty Global Properties
Uol
Aretilaw firm

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter