Creating an AI data governance policy is a critical step in ensuring AI is used responsibly, securely, and effectively across an organization. Unlike traditional data governance, AI governance addresses additional concerns such as transparency, accountability, bias, ethical use, regulatory compliance, and ongoing model oversight. A strong policy begins by clearly defining its purpose, scope, and intended outcomes, ensuring all stakeholders understand how AI will be used and governed. Successful policy development requires collaboration among business leaders, IT teams, data specialists, legal experts, compliance professionals, and other subject matter experts. The policy should establish clear roles and responsibilities, define standards for data quality and security, address risk manageme

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