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Cyta CEO Andreas Neokleous Steps Down to Pursue International Ventures

In a strategic career transition, Cyta’s Chief Executive Officer, Andreas Neokleous, has announced that he will step down at the end of August, as confirmed by recent reports. The decision, communicated by the Chair of the Board, was conveyed to Cyta’s staff amid a period of organizational change.

Transition and the Path Forward

Sources indicate that Neokleous tendered his resignation for professional reasons after accepting a new opportunity with an international company. This move is set to trigger the ensuing process within Cyta to identify and appoint a successor, marking a pivotal moment in the firm’s leadership evolution.

A Distinguished Professional Legacy

Neokleous, who assumed the CEO role in January 2019 following board approval and ministerial confirmation, brings a wealth of expertise to the telecommunications sector. A holder of a Master of Engineering in Electrical and Electronic Engineering as well as a PhD in Telecommunications & Digital Signal Processing from Imperial College London, his academic credentials are matched by his extensive professional experience.

Prior to joining Cyta, Neokleous held key leadership roles at MTN from October 2011 to November 2016, where he managed business and customer experience divisions, as well as serving as General Manager for the IT subsidiary IBSCY Ltd. He later founded Xperology, serving as its CEO, and subsequently joined Demstar Business Solutions as Director of Business Services before being appointed CEO of Cyta.

Implications for the Industry

Neokleous’s exit not only signals a personal career milestone but also reflects a broader trend of executive mobility within the telecommunications industry. As Cyta embarks on the search for new leadership, the industry will be watching closely to see how this transition shapes future strategic directions and market performance.

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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