Abstract
The rapid integration of Artificial Intelligence (AI) into public sector policy and governance presents both transformative opportunities and considerable challenges. As governments worldwide increasingly adopt AI-driven tools for decision-making, service delivery, and resource allocation, the societal impact spans ethical, economic, and political domains. This paper evaluates the long-term consequences of AI adoption in public institutions, emphasizing transparency, bias mitigation, public trust, and institutional accountability. Drawing on pre-2024 scholarly literature and contemporary insights, it presents a critical review and proposes strategies for equitable, inclusive, and sustainable AI governance.
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