What generative AI means for trust in health communications

被引：17

作者：

Dunn, Adam G. ^{[1
]}

Shih, Ivy ^{[2
]}

Ayre, Julie ^{[3
]}

Spallek, Heiko ^{[4
]}

机构：

[1] Univ Sydney, Fac Med & Hlth Biomed Informat & Digital Hlth, Sch Med Sci, 128 RC Mills Bldg, Sydney, 2006, Australia

[2] Univ Sydney, Media Off, Sydney, Australia

[3] Univ Sydney, Fac Med & Heath, Sydney Sch Publ Hlth, Sydney Hlth Literacy Lab, Sydney, Australia

[4] Univ Sydney, Fac Med & Heath, Sydney Dent Sch, Sydney, Australia

来源：

JOURNAL OF COMMUNICATION IN HEALTHCARE | 2023年 / 16卷 / 04期

关键词：

Natural language processing; health communication; trust; artificial intelligence; search engines; conversational agents;

D O I：

10.1080/17538068.2023.2277489

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

Large 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.

引用

页码：385 / 388

页数：4

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