责任差距和黑盒医疗保健人工智能:作为解决方案的共同责任化
Benjamin H Lang1,2, Sven Nyholm3,4, Jennifer Blumenthal-Barby2
1University of Oxford, Oxford, UK.
概括
医疗保健中的人工智能 (AI) 在发生错误时会造成"责任差距". 利益相关者必须自愿承担道德责任,允许在患者护理中使用人工智能.
科学领域:
- 医学伦理 医学伦理
- 人工智能的人工智能
- 医疗保健管理局的管理.
背景情况:
- 越来越多地将复杂的人工智能 (AI) 集成到医疗保健中,这引发了对AI行动的问责制的问题.
- 当人工智能在自动化任务中出现错误时,责任差距就会出现,在道德责任归属中留下一个空白.
研究的目的:
- 检查医疗保健中的"黑子"人工智能的责任差距.
- 解决未解决的责任差距的道德影响.
- 为AI在医疗保健中的伦理整合提出解决方案.
主要方法:
- 对人工智能引起的责任差距进行哲学分析.
- 对医疗保健中的问责制进行道德检查 AI.
- 建议将利益相关者"负责任化"作为解决方案.
主要成果:
- 医疗保健的"黑子"人工智能显然产生了责任差距.
- 未解决的差距在医疗保健中带来了重大道德挑战.
- 利益相关者自愿承担责任是一个可行的解决方案.
结论:
- 利益相关者可以"负责"人工智能差距,承担道德责任.
- 这种方法允许使用"黑子"医疗保健AI.
- 伦理框架必须适应人工智能在医疗保健等关键领域的整合.
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