透明度和权威关注使用人工智能在临床环境中提出道德建议
Jeffrey Byrnes1, Michael Robinson2
1Grand Valley State University.
Nursing ethics
|December 22, 2024
概括
医疗保健伦理咨询中的人工智能 (AI) 提出了透明度和问责问题. 人工智能黑子阻碍了对临床决策的解释,过度依赖可能会阻止工作人员超越有问题的AI建议.
科学领域:
- 生物伦理学生物伦理学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 对使用人工智能 (AI) 来自动化医疗保健伦理咨询越来越感兴趣.
- 人工智能在简化道德决策过程中的潜在好处.
研究的目的:
- 识别和分析与实施AI相关的关键挑战,以提供临床伦理指导.
- 批判性地评估人工智能驱动的伦理咨询对医疗保健专业人员和患者的影响.
主要方法:
- 在道德决策中对人工智能的概念分析.
- 检查临床实践中的透明度要求.
- 评估人工智能辅助医疗保健中的问责制结构.
主要成果:
- 人工智能伦理程序可能充当"黑子",妨碍临床决策的透明度.
- 缺乏透明度阻碍了患者和监督机构对治疗选择的证明.
- 赋予人工智能建议的重大权力可能会使临床医生无法干预道德上有疑问的指导.
结论:
- 目前用于伦理咨询的人工智能方法存在重大透明度挑战.
- 人工智能有可能破坏临床判断和问责制,需要仔细考虑.
- 需要进一步的研究来开发在道德上稳健和透明的医疗保健人工智能系统.
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