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Cypriot MEP Hadjipantela Champions EU’s €4 Billion Aid To Egypt In High-Stakes Migration Talks

In Strasbourg this week, Cypriot MEP Michalis Hadjipantela met with Egyptian Foreign Minister Dr. Badr Abdelatty to discuss the European Union’s €4 billion Macro-Financial Assistance (MFA) package to Egypt. The meeting, held during the European Parliament’s plenary session, signals the strategic importance of EU-Egypt relations in tackling shared challenges, particularly migration.

Hadjipantela, representing DISY and the EPP as shadow rapporteur for the MFA, expressed confidence in securing parliamentary approval for the proposal. “This funding ensures Egypt’s strengthened border security while addressing migration flows to Cyprus,” he noted. He highlighted the EU’s role by saying, “Europe provides the solutions to the issues that concern Cypriot citizens.”

The MFA is a critical tool for the EU, offering financial relief to non-EU nations facing economic instability. Egypt’s case is particularly significant, with the total EU funding commitment reaching €7.4 billion for 2024–2027. These funds aim to foster economic development and enhance cooperation on migration management, reflecting the EU’s broader geopolitical strategy.

This aid package is pivotal for the EU, as it navigates the complexities of regional security and migration. Securing this financial lifeline for Egypt underpins its economic resilience and border management capabilities.

Hadjipantela’s advocacy underscores the intertwined priorities of economic development and migration control, emphasizing that Europe’s collective solutions are key to addressing these critical challenges. As the plenary vote approaches, the outcome will not only shape EU-Egypt relations but also set the tone for future European strategies in the region.

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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