Cyprus Computer Society submits 33 recommendations for national artificial intelligence strategy
The Cyprus Computer Society (CCS) — an independent non-profit association of IT professionals with more than 1,500 members — has submitted 33 recommendations for Cyprus’s national artificial intelligence strategy through 2032. The organisation’s main requirement is to turn the stated goals into measurable and practical outcomes.

The society described the strategy itself as an important step towards a coordinated national policy. The document covers governance, data, infrastructure, skills, responsible AI and economic development, so the CCS proposals focus on implementation — on moving “from an AI strategy to a practical outcome”.
The key proposal is a single national AI implementation plan with a calculated budget, specifying the necessary investments, sources of funding, timelines and expenditures. The organisation is also calling for clearer accountability within the governance structure and is raising the question of who will control the budgets and be held responsible if implementation fails.
The CCS proposes using public procurement as a tool to support development: the state should become the first customer for start-ups. In the society’s view, the economic impact should be measured not by the emergence of unicorn companies, but by AI solution exports, revenue and the volume of private investment. The stated target of 3,000 AI specialists should be broken down by category: researchers, engineers, data specialists and industry professionals.
A separate section addresses generative AI and AI agents. The organisation believes that national rules should be adopted for the use of large language models in public authorities, covering the handling of confidential information, the limits of agents’ powers, copyright, synthetic content and deepfakes, and mandatory human oversight. It also proposes testing algorithms for bias and introducing accessibility requirements for services used by citizens.
The CCS proposes assessing the strategy’s success by growth in productivity, the quality of public services and the volume of AI solution exports.
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