生成型人工智能对健康通信的信任意味着什么?
Adam G Dunn1, Ivy Shih2, Julie Ayre3
1Faculty of Medicine and Health, Biomedical Informatics and Digital Health, School of Medical Sciences, The University of Sydney, Sydney, Australia.
Journal of communication in healthcare
|November 3, 2023
概括
大型语言模型 (LLM) 将改变健康信息的获取. 仔细考虑透明度和可解释性至关重要,以减轻与健康沟通中人工智能相关的风险.
科学领域:
- 卫生沟通健康沟通
- 人工智能的人工智能
- 信息技术 采用 信息技术 采用
背景情况:
- 大型语言模型 (LLM) 是像ChatGPT这样的接口的基础.
- 法律法规正在迅速被采用和投资,这表明了变革的潜力.
- 关于LLM对健康沟通的具体影响尚不清楚.
研究的目的:
- 探索生成性AI,特别是LLM对健康信息的潜在影响.
- 检查LLM如何改变健康信息的生产和消费.
- 分析营销和错误信息与健康信息中的证据混合的风险.
主要方法:
- 借鉴关于采用新信息技术的研究.
- 分析生成性AI工具对健康信息格局的潜在影响.
- 基于观点的方法来讨论影响.
主要成果:
- 法律法规可能会改变健康信息的生产和可访问性.
- 将营销和错误信息与证据相结合是一个潜在的风险.
- 这些人工智能工具可能会影响对健康信息的信任.
结论:
- 透明度和可解释性是健康领域生成性AI的关键考虑因素.
- 不可预见的后果必须主动解决.
- 负责任的开发和部署是必要的,以确保可靠的健康信息.
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