The Intersection of Artificial Intelligence in Public Health Education for Sustainable Development

Abstract

Public health education faces numerous challenges, including disparities in access, curriculum relevance, integration of technology, cultural and language barriers, and misinformation. These challenges hinder the development of a well-equipped public health workforce capable of addressing global health issues effectively. The paper analyses how AI-driven solutions, such as adaptive learning platforms, data-driven curriculum development, virtual simulations, and AI-powered translation tools, are transforming public health education by making it more accessible, relevant, and responsive to the needs of diverse populations. Moreover, the paper investigates the intersection of AI and public health education, highlighting how this synergy supports the achievement of Sustainable Development Goals (SDGs) 3 (Good Health and Well-being) and 4 (Quality Education). Artificial Intelligence enhances the accessibility and quality of education (SDG 4) by providing inclusive and adaptive learning opportunities, particularly for underserved populations. Simultaneously, AI contributes to improving health outcomes (SDG 3) by equipping future public health professionals with the skills and knowledge needed to address current and emerging health challenges. The findings suggest that embracing AI in public health education is not only a necessity for keeping pace with technological advancements but also a critical step toward achieving the broader goals of sustainable development.