Artificial Intelligence in Public Administration: Opportunities and Challenges, NOVA Publications , ss.171-186, 2026
Artificial intelligence (AI) is increasingly being positioned as a transformative force in healthcare, with promises to improve efficiency, reduce human error, and compensate for workforce shortages. While the rapid adoption of AI technologies offers critical opportunities for public health systems, it also raises profound ethical, regulatory, and equityrelated concerns. This study critically examines the normative frameworks and governance models proposed by leading global institutions, including the WHO, EU, OECD, UNESCO, FDA, and the World Bank - for the use of AI in healthcare. Using qualitative document analysis, nine institutional policy documents published between 2019 and 2024 were evaluated thematically across ethics, governance, and equity dimensions. Findings reveal a consensus on core ethical principles such as human rights, transparency, accountability, and privacy, yet implementation remains geographically fragmented and legally inconsistent. While some frameworks, such as the EU AI Act, present binding legislative structures, others rely on advisory guidance with limited enforceability. The study also highlights a critical gap between policy intent and practical inclusion, particularly in low- and middleincome countries where digital infrastructure and institutional capacity remain insufficient. As AI becomes embedded in public health systems, ensuring inclusive access, human oversight, and socio-technical accountability emerges as a global imperative. The results suggest that effective AI governance in healthcare must move beyond technical efficiency to address structural inequities, foster transnational collaboration, and institutionalize ethical safeguards across all contexts.