What generative AI means for trust in health communications.

Q2 Social Sciences Journal of Communication in Healthcare Pub Date : 2023-12-01 Epub Date: 2023-12-14 DOI:10.1080/17538068.2023.2277489
Adam G Dunn, Ivy Shih, Julie Ayre, Heiko Spallek
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Abstract

ABSTRACTLarge language models are fundamental technologies used in interfaces like ChatGPT and are poised to change the way people access and make sense of health information. The speed of uptake and investment suggests that these will be transformative technologies, but it is not yet clear what the implications might be for health communications. In this viewpoint, we draw on research about the adoption of new information technologies to focus on the ways that generative artificial intelligence (AI) tools like large language models might change how health information is produced, what health information people see, how marketing and misinformation might be mixed with evidence, and what people trust. We conclude that transparency and explainability in this space must be carefully considered to avoid unanticipated consequences.

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生成性人工智能对健康通信的信任意味着什么。
摘要大型语言模型是ChatGPT等界面中使用的基本技术,有望改变人们访问和理解健康信息的方式。吸收和投资的速度表明,这些将是变革性的技术,但尚不清楚对健康通信的影响。从这个角度来看,我们利用关于采用新信息技术的研究,重点关注生成性人工智能(AI)工具,如大型语言模型,可能会改变健康信息的产生方式、人们看到的健康信息、营销和错误信息如何与证据混合,以及人们信任的内容。我们的结论是,必须仔细考虑这一领域的透明度和可解释性,以避免意外的后果。
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来源期刊
Journal of Communication in Healthcare
Journal of Communication in Healthcare Social Sciences-Communication
CiteScore
2.90
自引率
0.00%
发文量
44
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