Challenges, Biases, and Solutions in Using Large Language Models Like ChatGPT for Public Health Communication and Crisis Management

Abstract

In many Asian countries, public health communication faces unique challenges due to the region's diverse cultures, languages, and varying levels of digital infrastructure.The rapid spread of misinformation during health crises, such as the COVID-19 pandemic, highlighted the need for effective communication tools to reach vast and heterogeneous populations.Large language models (LLMs) like ChatGPT offer a promising solution to these challenges by providing accurate, timely, and accessible information across different languages and cultural contexts.In countries like India, China, and Indonesia, where internet penetration varies significantly between urban and rural areas, the deployment of LLMs can help bridge communication gaps.These models can be fine-tuned to address local languages and dialects, ensuring that public health messages are comprehensible and culturally appropriate.Moreover, in densely populated regions, where misinformation can spread rapidly through social media, LLMs can be instrumental in countering false narratives by generating reliable and context-specific information that resonates with the local population. 1,2

Ähnliche Arbeiten