AI-POWERED PUBLIC HEALTH SYSTEMS: INNOVATIONS AND ETHICAL CONSIDERATIONS

Abstract

Artificial Intelligence (AI) is transforming public health systems by enhancing disease surveillance, streamlining health data analysis, and improving response strategies. AI-driven tools are increasingly utilized for predictive modeling, resource allocation, and personalized healthcare interventions, offering the potential to significantly improve population health outcomes. However, these innovations also raise critical ethical concerns related to data privacy, algorithmic bias, and equitable access to technology. This paper explores the latest advancements in AI applications within public health, while critically examining the ethical frameworks needed to ensure responsible and inclusive implementation. The balance between innovation and ethics is essential to building AI systems that are not only effective but also fair and transparent in their impact on diverse communities.