关于健康信息、错误信息和生成人工智能技术交叉的观点。

IF 2.3 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2025-09-15 DOI:10.2196/69474
António Bandeira, Luis Henrique Gonçalves, Felix Holl, Juliet Ugbedeojo Shaibu, Mariana Laranjo Gonçalves, Ronan Payinda, Sagun Paudel, Alessandro Berionni, Tina D Purnat, Tim Mackey
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引用次数: 0

摘要

近年来,人工智能(AI)发展迅速,大型语言模型和生成式人工智能等创新发展迅速。虽然这一进展提供了巨大的机会,但也带来了风险,特别是在信息的创造、消费和扩大及其对人口健康和卫生规划实施的影响方面。从政策和治理的角度出发,需要深思熟虑的方法来应对人工智能进步对不同卫生保健专业人员和患者群体的影响。通过世界公共卫生协会联合会工作组之间的合作,这篇观点文章汇集了来自五大洲和不同背景的年轻成人专业人员的观点、关切和愿望,以探讨在不断变化的卫生信息环境下公共卫生和人工智能的未来。我们的讨论分为两个部分,专门研究虚假信息和人工智能的各个方面,以及公共卫生和医疗专业人员在不断增长的人工智能驱动的卫生信息生态系统中的作用。这一观点总结了关于如何潜在地解决信息和虚假信息超载等问题的5项关键建议;错误的信息传播;以及由此导致的卫生实践、研究、伦理方面的变化,以及能够动态应对当前和未来挑战的强有力政策的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies.

In recent years, artificial intelligence (AI) has seen rapid advancements, with innovations such as large language models and generative AI evolving at a rapid pace. While this progress offers tremendous opportunities, it also presents risks, particularly in the creation, consumption, and amplification of information and its impact on population health and health program delivery. Thoughtful approaches are necessary to navigate the consequences of advances in AI for different health care professionals and patient populations and from a policy and governance perspective. Through a collaboration between the World Federation of Public Health Associations working groups, this Viewpoint article brings together perspectives, concerns, and aspirations from young adult professionals across 5 continents and from diverse backgrounds to explore the future of public health and AI in the context of the changing health information environment. Our discussion is divided into 2 parts, specifically examining aspects of disinformation and AI, and also the role of public health and medical professionals in a growing AI-driven health information ecosystem. This Viewpoint concludes with 5 key recommendations on how to potentially address issues such as information and disinformation overload; misinformation propagation; and resultant changes in health practices, research, ethics, and the need for robust policies that can dynamically address current and future challenges.

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