<![CDATA[The rapid development of Artificial Intelligence (AI) has brought transformative impacts across various sectors but simultaneously raises multidimensional challenges, particularly regarding ethics and infrastructure governance. This study aims to analyze AI governance through a system paradigm approach by using the operating system (OS) as an analytical analogy. The research employs a qualitative method through a literature study of reputable journals and academic databases, focusing on AI ethics, system paradigms, and infrastructure governance. Findings indicate that the system paradigm provides a holistic framework to integrate ethical principles, regulatory mechanisms, and technical functions within AI ecosystems. The OS analogy highlights governance components such as ethical kernels, access control, and security layers as integral to ensuring transparency, accountability, and fairness. The study concludes that responsible AI governance requires a systemic, adaptive, and sustainability-oriented approach, bridging technological innovation with social and ethical values.]]>
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