AI in Community Health Education: Empowering Underrepresented Voices

Résumé

Artificial intelligence (AI) has the potential to reshape community health education by amplifying underrepresented voices and fostering inclusivity. Traditionally, marginalized communities have faced barriers to accessing health information due to socio-economic, linguistic, and cultural differences. AI technologies, including natural language processing, data analytics, and personalized learning platforms, can bridge these gaps by tailoring health education to diverse audiences. Through the development of AI-powered tools, community health education can become more accessible, engaging, and culturally relevant. These technologies enable the creation of personalized educational materials that cater to individuals' unique needs, making it possible to address health disparities effectively. Furthermore, AI can empower community leaders by providing them with data-driven insights, improving their ability to advocate for health equity and better-targeted interventions. However, the use of AI in community health education must be approached with caution, ensuring that ethical considerations, such as privacy, data security, and algorithmic fairness, are addressed. This paper explores the role of AI in empowering underrepresented communities in the context of health education, emphasizing the need for collaborative models that involve community stakeholders in the design and implementation of AI tools. By leveraging AI, community health education can become a powerful tool for social change, promoting health equity and improving outcomes for marginalized populations.