关于在促进健康方面使用人工智能的建议
Andy Smith1, Ross Arena2, Simon L Bacon3
1Independent Sport and Exercise Scientist, United Kingdom; Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA.
Progress in cardiovascular diseases
|October 10, 2024
概括
这一观点为促进健康使用人工智能 (AI) 提出了11项建议,强调以人为本的方法. 关键考虑因素包括劳动力规划和向监管机构报告人工智能事件.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 生物伦理学生物伦理学
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健.
- 伦理考虑和人-人工智能交互模型对于健康促进的有效实施至关重要.
- 流行病事件保护健康生活 (HL-PIVOT) 网络确定了结构化指导的需要.
研究的目的:
- 制定基于证据的建议,以在促进健康方面道德和有效地使用人工智能.
- 解决关于人与人工智能关系,信任,价值调整,数据伦理和控制的关键问题.
- 通过假设场景提供实际见解,说明AI在各种健康促进环境中的作用.
主要方法:
- 一个六步的过程,包括从HL-PIVOT网络中招募国际作者.
- 哲学探究,解决人工智能在健康促进中的核心伦理和实际问题.
- 开发4个假设场景来探索AI应用和影响.
主要成果:
- 由HL-PIVOT作者制定了11个不同的建议,用于在健康促进中实施人工智能.
- 一贯的主题是以人为中心的方法,这是所有建议的基础.
- 建议涵盖从劳动力规划到人工智能在健康促进中的事件报告等各个方面.
结论:
- 以人为中心的方法对于成功地将人工智能整合到健康促进中至关重要.
- 积极的劳动力规划和监管监督对于管理医疗保健中的AI至关重要.
- 伦理准则和建立信任机制对于公众和专业人士接受人工智能工具至关重要.
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