信息,协作,监管:医生和人工智能研究人员对临床人工智能集成中的伦理考虑的看法
Katie Ryan1, Max Kasun1, Laura W Roberts1
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
概括
医学中的人工智能 (AI) 需要道德评估. 医生和人工智能研究人员强调了有关信息共享,人工智能风险和患者自主权的担忧,倡导更好的监管.
科学领域:
- 医学伦理 医学伦理
- 医疗保健中的人工智能
- 临床信息学 临床信息学
背景情况:
- 人工智能 (AI) 整合到医学中,带来了重大的伦理挑战.
- 目前的伦理框架不足,缺乏利益相关者的经验数据.
- 了解医生和患者的观点对于道德AI实施至关重要.
研究的目的:
- 在AI的临床整合过程中全面评估道德考虑.
- 收集医生和人工智能研究人员对感知道德问题的经验见解.
- 为临床AI制定强有力的伦理准则提供信息.
主要方法:
- 使用深度半结构面试的定性描述方法.
- 采访了具有临床AI经验的11名医生和10名AI研究人员.
- 分析了采访数据,以确定关键的伦理主题.
主要成果:
- 在信息共享,理解,风险和临床AI的系统影响方面确定了伦理考虑.
- 医生和研究人员质疑道德AI使用所需的信息水平.
- 人们担心人工智能对患者自主权的潜在威胁.
结论:
- 临床人工智能集成需要解决信息缺口和潜在风险.
- 利益相关者的观点强调,需要对医疗保健中的AI进行仔细监管.
- 需要进一步的研究,以建立临床AI的初步伦理理解.
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