健康的不信任:医学黑子算法,认识论权威和先发制人主义
1Institute of Ethics, History and Theory of Medicine, Ludwig-Maximilians-Universität (LMU) München, Lessingstr. 3, D-80336Munich, Germany.
概括
本研究探讨了医学黑子算法 (BBA) 的伦理问题. 它批评BBA应该被认为是先决于患者信念的认识学权威,这可能会侵蚀信任.
科学领域:
- 医学伦理 医学伦理
- 技术的哲学技术的哲学
- 人工智能在医学中的应用
背景情况:
- 关于医学黑子算法 (BBA) 的伦理讨论往往缺乏深刻的认识论分析.
- 要了解BBA的信任和处理,需要检查它们作为认识论权威的角色.
- 优选主义的概念,即算法结果取代患者的信念,是这个道德辩论的核心.
研究的目的:
- 解决医学BBA的认识论分析中的研究缺口.
- 检查BBA作为认识学权威 (EAs) 的论文.
- 批评处理医疗BBA的先发制人的观点.
主要方法:
- 认识权威 (EA) 的概念分析.
- 检查为什么BBA可以被认为是EA.
- 批评抢购主义作为EA互动的框架.
主要成果:
- 可以将BBA概念化为认识学权威 (EAs).
- 优先权主义,即EA结果必须取代其他信念的想法,是一个有问题的立场.
- 对先发制人的批判性讨论揭示了它在医疗BBA的背景下存在的局限性.
结论:
- 如果将医疗BBA视为绝对的认识学权威,可能会产生对医疗BBA的不信任.
- 为了将BBA整合到临床实践中,需要一种细微的方法.
- 建议对BBA作为EA进行道德处理的要求,强调批判性参与而不是盲目接受.
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