医疗人工智能的公共话语如何塑造治理期望:来自中国的基于微博的混合方法研究
Ting Jiang1,2, Na Wei1, Qiang Yan1
1School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
Frontiers in public health
|December 8, 2025
概括
在中国,公众对医疗人工智能的看法强调医生领导的,人工智能增强的医疗保健模式. 公民参与正在塑造人工智能治理,平衡创新与以人为中心的护理.
科学领域:
- 医学的人工智能 (AI)
- 公共卫生政策 公共卫生政策
- 技术社会学技术的社会学.
背景情况:
- 现有的医学人工智能感知研究在像中国这样的集体主义,国家驱动的医疗保健系统中是有限的.
- 了解公众的反应对于有效的AI实施和治理至关重要.
- 在公众对医疗人工智能的看法中,认知,影响和行为的相互作用在非西方背景下仍未得到充分探索.
研究的目的:
- 检查中国关于医疗人工智能的公共话语.
- 分析主题景观,情绪分布和影响治理的认知-影响-行为 (CAB) 机制.
- 填补了解非西方公众对医疗人工智能的反应的空白.
主要方法:
- 收集了12356条关于医疗AI的微博帖子 (2022年1月至2024年12月).
- 使用隐藏的迪里克莱特分配 (LDA) 进行主题建模和情绪分析.
- 应用了基于理论的分析 (开放式,轴向式,选择性编码) 到1000个帖子来开发一个理论模型.
主要成果:
- 确定了医疗人工智能的基础驱动因素,应用领域和社会利益/风险的八个关键主题.
- 讨论显示了所有主题的混合情绪 (积极和消极).
- CAB模型揭示了一个以认知驱动的,由医生领导的AI集成协作增强模型,其情绪反应范围从惊到焦虑,以及旨在治理的行为策略.
结论:
- 中国的公共话语表明,人们更喜欢由医生领导的,由人工智能支持的医疗保健模式.
- 新兴的自下而上的问责机制证明了公民参与塑造人工智能治理框架.
- 研究结果提供了关于中国医疗人工智能的公众认知,情绪和行为的关键见解.
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