Breaking news

Proposed Tax Reform: Minister Considers Raising Family Income Thresholds for Enhanced Deductions

Finance Minister Opens Door to Adjusted Income Limits

In a decisive parliamentary session marking the commencement of discussions on the proposed tax reform legislation, Finance Minister Makis Keravnos introduced the concept of revising the annual family income thresholds used to qualify taxpayers for additional deductions. This move signals a willingness to reconsider eligibility criteria to better reflect the evolving economic landscape.

Structured Tax Brackets and Expanded Relief Measures

The proposed reforms outline a significant adjustment in tax-free allowances and progressive tax brackets. The tax-free threshold is set to rise to €20,500, with additional incremental increases based on factors such as the number of children, students, and existing housing loans. Under the new scheme, incomes from €20,501 to €30,000 would be taxed at 20%, those between €30,001 and €40,000 at 25%, incomes from €40,001 to €80,000 at 30%, and earnings exceeding €80,000 would face a 35% rate. Notably, some taxpayers will only be able to claim further relief if their annual income does not exceed €80,000, although Minister Keravnos mentioned that an increase to €90,000 is also under consideration.

Family-Based Deductions and Detailed Relief Structures

The legislation places special emphasis on family composition, offering additional tax exemptions accordingly. Households with a gross annual income of up to €80,000 qualify, with the threshold raised to €100,000 for larger families. More detailed deductions include a €1,000 annual reduction for each spouse, partner, or sole earner for every dependent child and student, doubling to €2,000 for single-parent families. Furthermore, taxpayers may avail an annual €1,500 deduction for interest on loans for primary residences or rental expenses, and an additional €1,000 deduction for capital expenditures related to energy upgrades and electric vehicle investments, which is transferable over the following four years.

A Strategic Adjustment to National Fiscal Policy

By considering an increase in the income threshold and refining tax brackets, the government aims to balance fiscal discipline with enhanced support for families. This initiative not only bridges the gap between economic realities and tax policy but also reflects an adaptive approach to managing public finances in challenging economic times.

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.

The Future Forbes Realty Global Properties
eCredo
Aretilaw firm
Uol

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter