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AI Governance is a <strong>critical necessity</strong> for organizations deploying Artificial Intelligence. It encompasses the systematic assessment of <strong>risks and impacts</strong>, followed by the implementation of <strong>preventive measures</strong> <em>before</em> AI systems are put into operation.<br><br>This framework aligns with <strong>international principles</strong> and is increasingly mandated by <strong>national legislation</strong> in several countries. Organizations must demonstrate <strong>clear responsibility</strong> and accountability in their AI adoption, particularly in the dimensions of <strong>ethics, fairness, and transparency</strong>.<br><br>AI Governance is more than just policy formulation; it requires <strong>active implementation across the entire AI lifecycle. </strong>It involves a wide range of stakeholders, from <strong>executives and developers to users and legal experts.</strong> Consequently, it is a subject that <strong>everyone must prioritize.</strong>