医学人工智能伦理学:经验研究的系统审查
Lu Tang1, Jinxu Li1, Sophia Fantus2
1Department of Communication and Journalism, Texas A&M University, College Station, TX, USA.
Digital health
|July 12, 2023
概括
本综述绘制了医学人工智能 (AI) 伦理学的经验研究格局. 调查结果揭示了伦理原则与研究之间的差距,强调了在负责任地开发人工智能方面需要跨学科的合作.
科学领域:
- 医学伦理 医学伦理
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 正在医学和医疗保健领域迅速发展.
- 医疗人工智能的道德,法律和监管影响正在进行广泛的辩论.
- 对有关医疗人工智能的利益相关者的观点进行实证研究正在出现.
研究的目的:
- 系统地审查医学人工智能伦理学的经验研究.
- 绘制现有学术研究的方法,发现和局限性的地图.
- 为负责的人工智能实施的未来实践考虑提供信息.
主要方法:
- 在七个数据库中进行系统的文献搜索.
- 包括对医学AI伦理学 (2013-2022) 进行同行评审的实证研究.
- 基于技术类型,地理位置,利益相关者,方法,道德原则和发现的评估.
主要成果:
- 包括36项研究,重点关注三个主要主题.
- 对利益相关者的知识和态度进行探索性研究.
- 关于人工智能接受和偏见识别/纠正的理论构建研究.
结论:
- 高层次的伦理原则与实证研究之间存在着分离.
- 需要将伦理学家与人工智能开发人员,临床医生,患者和收养学者进行整合.
- 跨学科的合作对于推进医学AI道德至关重要.
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