在数据驱动的人工智能世界中弥合健康差距:叙事审查
Anastasia Murphy1, Kuan Bowen2, Isaam M El Naqa3
1Department of Health Outcomes and Behavior, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA. anastasia.murphy@moffitt.org.
Journal of racial and ethnic health disparities
|July 2, 2024
概括
由于偏见,人工智能 (AI) 可能会加剧健康差异. 确保人工智能开发和实施的公平性至关重要,以防止边缘化群体的不平等加剧.
科学领域:
- 医疗信息学 医疗信息学
- 医学伦理 医学伦理
- 健康 公平 研究 健康 公平 研究
背景情况:
- 人工智能 (AI) 对美国医疗保健具有变革性的潜力.
- 人们对人工智能能够延续边缘化社区的差异存在担忧.
研究的目的:
- 对美国的人工智能和健康差异进行叙事审查.
- 确定人工智能是否会减少或加剧现有的健康不平等.
主要方法:
- 使用Ovid MEDLINE进行系统的文献搜索.
- 包括讨论人工智能对种族/种族健康差异的影响的文章.
- 专注于人工智能作为缓解的工具,有或没有偏见的考虑.
主要成果:
- 对65篇文章的分析揭示了影响健康公平的六个关键主题.
- 已识别的AI偏见延续和加剧了种族/种族不平等.
- 强调需要算法公平,人工智能的多样性,监管,道德标准和透明度.
结论:
- 人工智能为改善医疗保健结果和公平提供了潜力.
- 在医疗保健中实施人工智能伴随着重大风险和挑战.
- 在整个AI开发和部署阶段,公平的镜头是必不可少的,以最大限度地提高收益并减轻损害.
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