School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Front Public Health. 2024 Feb 13;12:1310437. doi: 10.3389/fpubh.2024.1310437. eCollection 2024.
Artificial intelligence (AI) chatbots have the potential to revolutionize online health information-seeking behavior by delivering up-to-date information on a wide range of health topics. They generate personalized responses to user queries through their ability to process extensive amounts of text, analyze trends, and generate natural language responses. Chatbots can manage infodemic by debunking online health misinformation on a large scale. Nevertheless, system accuracy remains technically challenging. Chatbots require training on diverse and representative datasets, security to protect against malicious actors, and updates to keep up-to-date on scientific progress. Therefore, although AI chatbots hold significant potential in assisting infodemic management, it is essential to approach their outputs with caution due to their current limitations.
人工智能(AI)聊天机器人有可能通过提供广泛的健康主题的最新信息来彻底改变在线健康信息搜索行为。它们通过处理大量文本、分析趋势和生成自然语言响应的能力,为用户查询生成个性化的响应。聊天机器人可以通过大规模揭穿在线健康错误信息来管理信息疫情。然而,系统的准确性在技术上仍然具有挑战性。聊天机器人需要在多样化和有代表性的数据集上进行培训,需要安全性来防范恶意行为者,并进行更新以跟上科学进展。因此,尽管 AI 聊天机器人在协助信息疫情管理方面具有巨大的潜力,但由于其当前的局限性,必须谨慎对待其输出。