The article discusses the potential role of generative artificial intelligence (AI) in combating vaccine hesitancy and building trust in vaccines. AI, particularly large language models (LLMs), can analyze text against verified fact bases to identify misinformation and understand the psychological factors influencing vaccine acceptance or reluctance. This capability allows for the development of targeted intervention strategies, such as data-driven chatbots that provide accurate and context-specific health information. However, the authors caution that AI must be deployed ethically and responsibly to avoid amplifying misinformation and emotional drivers of vaccine hesitancy. They emphasize the need for continuous vigilance, educational initiatives, and a balanced approach to AI development, monitoring, and regulation. The article also highlights the importance of integrating AI into public health programs while maintaining ethical principles and human expertise.The article discusses the potential role of generative artificial intelligence (AI) in combating vaccine hesitancy and building trust in vaccines. AI, particularly large language models (LLMs), can analyze text against verified fact bases to identify misinformation and understand the psychological factors influencing vaccine acceptance or reluctance. This capability allows for the development of targeted intervention strategies, such as data-driven chatbots that provide accurate and context-specific health information. However, the authors caution that AI must be deployed ethically and responsibly to avoid amplifying misinformation and emotional drivers of vaccine hesitancy. They emphasize the need for continuous vigilance, educational initiatives, and a balanced approach to AI development, monitoring, and regulation. The article also highlights the importance of integrating AI into public health programs while maintaining ethical principles and human expertise.