The Role of Large Language Model Chatbots in Sexual Education: An Unmet Need of Research

Large language model (LLM) chatbots have demonstrated significant capability in patient education by offering accessible, consistent, and personalized information. Their ability to interact in real-time and adapt responses based on user input makes them valuable tools in enhancing patient knowledge and engagement. Sexual education in developing countries faces substantial challenges. Sociocultural barriers, limited access to comprehensive educational resources, and stigmatization surrounding sexual health contribute to inadequate sexual education. Traditional methods often fail to reach remote or underserved populations, and there is a general shortage of qualified educators and resources. Chatbots present a promising solution to these challenges. They can offer anonymous, culturally sensitive information on sexual health, overcoming barriers related to stigma and privacy. While LLM chatbots hold significant potential to improve sexual education in developing countries, their implementation must be carefully managed to address challenges such as ensuring information accuracy and cultural sensitivity. There is dearth of research on LLM in sexual education. Hence, there is unmet need of research on the accuracy and reliability of the information, maintaining cultural sensitivity, assessing user engagement, capability of integration with traditional education methods, and exploring the long-term impact on improving knowledge.