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CITEA Elects New Board With Strategic Industry Leadership

The Cyprus Information Technology Enterprises Association (CITEA), a prominent entity within the Employers and Industrialists Federation (Oev), has unveiled its newly elected board of directors for the 2026–2027 term following its annual general meeting.

Key Leadership Appointments

George Malekkos of GM Powersoft Insights has been appointed president, affirming his position as a visionary leader in the tech industry. IBM’s Antonia Michael was selected as vice president, reinforcing the board’s commitment to innovation and strategic growth.

Diverse Expertise Across the Industry

The new board panel comprises distinguished professionals representing a broad spectrum of the technology and professional services landscape. Notable members include Nikos Kaisis of AA AcenetWorks, Michalis Michael of AC Goldman Solutions, Aris Anastasiadis of Advance Business Solutions, Andreas Kasiouris of Ath Loizou, and Stelios Kolou of AT Multitech.

Further extending its industry reach, the board also welcomes Stavros Theofilou of Blue Sun Automation, Michalis Nicolaou of CDMA Services, Elena Strouthou of Cocoon Creations, Alexandros Makrygiannis of Cyta, and Angelos Kountouris of Cytacom.

Expert Insights And Strategic Collaboration

Adding to the board’s strategic expertise, representatives from leading consulting and audit firms—Michalis Ziniaris of Deloitte, Minos Georgakis of PwC, and Thomas Hoplaros of Simplex—will further strengthen CITEA’s influence. At the public segment of the meeting, Themis Papasolomontos, deputy director of the Department of Industry and Technology, delivered remarks on behalf of the Minister of Energy, underscoring the collaborative synergy between the ministry and CITEA. Oev President Giorgos Pantelides also emphasized the association’s pivotal role within the federation.

Looking Forward

The ceremony concluded with outgoing President Dimitris Nisiotis reflecting on the board’s significant contributions over his tenure, highlighting key initiatives and collaborative successes that have defined CITEA’s robust role in supporting its member community. As the association embarks on a new chapter, the fresh board is poised to drive further advancements in Cyprus’s technology sector.

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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