医生和机器学习研究人员对临床机器学习工具早期发展中的伦理问题的看法:定性访谈研究
Jane Paik Kim1, Katie Ryan1, Max Kasun1
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.
JMIR AI
|June 14, 2024
概括
医学中的人工智能 (AI) 和机器学习 (ML) 引发了伦理方面的担忧. 研究人员和医生强调了人工智能开发中的问题,强调了跨学科的合作和为道德医疗人工智能提供多元化的团队.
科学领域:
- 医学的人工智能 (AI)
- 医疗保健中的机器学习 (ML)
- 临床伦理学 临床伦理学
背景情况:
- 人工智能和ML工具在医学中的快速发展用于预测,诊断和治疗.
- 从AI/ML研究人员和医生的角度来看,关于道德指导的研究缺乏.
研究的目的:
- 质量地探索医疗AI/ML开发和使用中的伦理问题.
- 捕捉AI/ML研究人员和医生的观察和预期的伦理问题.
主要方法:
- 与AI/ML研究人员 (n=10) 和医生 (n=11) 进行了21次半结构面试.
- 采用有目的的抽样和质量内容分析的转录,无身份的采访.
- 专注于参与者对医疗AI/ML采用的伦理考虑的看法.
主要成果:
- 关于AI/ML创新的问题制定阶段的关注点.
- 关键问题包括研究重点,临床需求调整,团队多样性和跨学科合作.
- 第1阶段的伦理挑战是跨学科的,需要价值观的调整和确保临床价值.
结论:
- 定性发现揭示了医疗保健中的伦理挑战AI/ML.
- 研究独特地允许在没有隐含假设的情况下对观点进行开放的探索.
- 承认局限性,包括排除患者和其他利益相关者的观点;呼吁进行进一步的研究.
关键词:
人工智能的人工智能是人工智能.伦理 伦理学 伦理学这是道德上的道德.伦理考虑 伦理考虑伦理学 伦理 伦理学机器学习是机器学习.这是一个前景,一个视角,一个视角.质量上的影响是有质量的.定性研究是一种定性研究.更多相关视频
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