在人工智能治理中集中安全网组织的紧迫性
Paige Nong1, Eric Maurer2, Roli Dwivedi2,3
1Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA. Nong0016@umn.edu.
NPJ digital medicine
|February 21, 2025
概括
多种利益相关者对于医疗保健中人工智能 (AI) 治理至关重要. 排除美国安全网可能会给边缘患者带来数字不平等,需要对公平的人工智能实践进行政策重定位.
科学领域:
- 医疗保健政策 医疗保健政策
- 人工智能伦理学 人工智能伦理学
- 卫生公平性健康公平性
背景情况:
- 强大的人工智能 (AI) 治理需要广泛的利益相关者参与.
- 美国医疗保健安全网在很大程度上被排除在AI治理合作之外.
- 目前的人工智能治理可能会加剧数字不平等和健康差距.
研究的目的:
- 要突出美国安全网被排除在人工智能治理之外.
- 强调人工智能在边缘化群体的医疗保健中的风险.
- 为公平的人工智能政策和实践提出可行的步骤.
主要方法:
- 对美国医疗保健系统当前人工智能治理框架的分析.
- 在人工智能政策制定中识别利益相关者的差距.
- 对AI对脆弱患者群体的潜在风险和益处的审查.
主要成果:
- 美国安全网被排除在人工智能治理讨论之外,是公平的重要障碍.
- 边缘化患者在医疗保健中未得到解决的AI实施面临不成比例的风险.
- 如果没有包容性的AI治理,数字沟可能会扩大.
结论:
- 重新定位人工智能治理议程对于防止美国医疗保健中的数字不平等至关重要.
- 参与安全网和多样化的利益相关者对于公平的AI政策至关重要.
- 需要采取具体的下一步措施来促进合作,并确保所有患者的公平人工智能实践.
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