Exploring the Role of Generative AI in Context of Public Health

Abstract

Generative Artificial Intelligence (AI) is rapidly emerging as a transformative force in public health, offering new possibilities for data synthesis, predictive modeling, and patient-centered communication. By leveraging large-scale language and image models, generative AI can support disease surveillance, accelerate drug discovery, enhance health education, and personalize interventions at scale. Its ability to generate synthetic datasets also holds promise for addressing data scarcity and privacy concerns in sensitive health domains. However, the integration of generative AI into public health raises critical challenges, including ethical considerations, bias mitigation, transparency, and regulatory oversight. This study explores the multifaceted role of generative AI in public health, highlighting both its potential to revolutionize healthcare delivery and the imperative to establish responsible frameworks that ensure equity, trust, and safety.

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