Artificial intelligence (AI) is increasingly applied in health education, from interactive chatbots to personalized learning platforms that disseminate preventive health information. Beyond individual learning, AI has the potential to strengthen public health systems by providing scalable, cost-effective, and timely education to diverse populations. However, concerns about bias, trust, and unequal access raise critical questions about its societal impact. This study investigates how the design of AI health educators—particularly their degree of human-likeness and transparency—affects individuals’ trust, comprehension, and willingness to adopt preventive health measures such as vaccination. Using an online experiment, we further examine whether AI-mediated education can reduce disparities in health information uptake across different social groups. Findings will inform both educational practices and public health policy by identifying ways to leverage AI responsibly, ensuring that future health education systems are inclusive, equitable, and resilient in preparing societies for ongoing and future health threats.

Authors:
Myoung-Jin Chae, Soonchunhyang University, South Korea

About the Presenter(s)
Professor Myoung-Jin Chae is a University Assistant Professor/Lecturer at Soonchunhyang University in South Korea

Connect on Linkedin
https://www.linkedin.com/in/myoung-jin-chae-b884242a/

See this presentation on the full schedule – Sunday Schedule

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