一种以社区为基础的方法,用于医疗保健的人工智能道德决策
Abdou S Senghor1,2, Tiffani J Bright3, Saya Kakim1,2
1Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD 21201, United States.
JAMIA open
|August 13, 2025
概括
AI CODE框架通过促进社区参与和公平的数据实践来解决医疗保健AI中的伦理问题. 它指导着人工智能系统的开发,这些系统是公平的,公正的,并支持健康公平.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 人工智能伦理学 人工智能伦理学
- 健康 公平 卫生 公平
背景情况:
- 人工智能 (AI) 正在彻底改变医疗保健诊断和治疗.
- 人工智能实施面临道德挑战,包括来自不公平数据的算法偏见,可能会加剧健康差异.
- 电子健康记录 (EHR) 是人工智能集成和道德审查的关键领域.
研究的目的:
- 介绍AI社区的道德对话和决策 (CODE) 框架.
- 为医疗保健人工智能开发提供了一个结构化的方法,以嵌入道德审议.
- 确保人工智能实施积极支持和推进健康公平.
主要方法:
- 人工智能代码框架包括5个步骤:上下文多样性,共享伦理建议,对话性决策,整合伦理解决方案和评估有效性.
- 专注于社区参与和利益相关者合作.
- 旨在减轻人工智能偏见,并促进人工智能设计中的公平性.
主要成果:
- 该框架概述了5个步骤的过程,以推进人工智能开发中的健康公平.
- 它强调包容性数据集,社区需求和协作决策.
- 为在医疗保健中道德地整合人工智能提供了实际指导.
结论:
- 人工智能代码框架为开发道德,社区驱动的人工智能系统提供了实际指导.
- 它旨在确保医疗保健中的AI与健康公平目标保持一致.
- 该框架通过结构化的社区参与来缓解人工智能偏见.
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