算法建议,人类决定:患者偏好预测器的证据性作用
1School of Philosophy, Religion, and History of Science, University of Leeds, Leeds, UK ndmakins@gmail.com.
Journal of medical ethics
|October 9, 2024
概括
基于人工智能的患者偏好预测器 (PPP) 可以指导无能患者的医疗保健决策. 这项技术应该被视为人类决策的证据,而不是唯一的决定因素.
科学领域:
- 生物伦理学生物伦理学
- 医疗保健中的人工智能
- 医疗决策 - - 医疗决策
背景情况:
- 缺乏决策能力的患者需要方法来指导医疗保健选择.
- 建议基于AI的患者偏好预测器 (PPP) 来推断患者的愿望.
- 当前的辩论经常将算法预测与决策混为一谈.
研究的目的:
- 在PPP的背景下区分算法预测和决策.
- 重新评估对PPP的哲学反对意见.
- 为PPP的伦理使用提出一个有证据的概念.
主要方法:
- 基于人工智能的患者偏好预测器的概念分析.
- 检查对PPP的突出的哲学反对意见.
- 在医疗保健中的预测和决策之间的区别.人工智能.
主要成果:
- 关于PPP的哲学分歧往往来自于将预测与决策混为一谈.
- 对PPP的反对主要是挑战它们作为唯一的决策者而不是作为证据来源的使用.
- 公共公共合作伙伴的证据概念得到了现有的批评的支持.
结论:
- 应采用患者偏好预测器 (PPP) 作为提供人类决策证据的工具.
- 公共公共合作伙伴的伦理评价应侧重于算法预测的伦理.
- 将重点从决策转移到预测,重新构建了医疗保健的伦理格局.
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