在医学培训中使人工智能变得人性化:负责设计的伦理框架
Mohammed Tahri Sqalli1, Begali Aslonov2, Mukhammadjon Gafurov3
1Department of Economics, School of Foreign Services, Georgetown University in Qatar, Doha, Qatar.
Frontiers in artificial intelligence
|June 1, 2023
概括
这篇视角文章介绍了设计人工智能 (AI) 在医学培训中的五大支柱伦理框架. 它确保人工智能与公平医疗保健和负责任的人工智能部署的伦理原则保持一致.
科学领域:
- 医学伦理 医学伦理
- 医疗保健中的人工智能
- 医疗教育 技术 技术 医学教育
背景情况:
- 人工智能 (AI) 整合到医疗保健中引发了重大的伦理问题.
- 在医疗培训中使人工智能变得人性化对于将算法与伦理标准保持一致,并确保公平的患者和从业者结果至关重要.
研究的目的:
- 为医疗培训中人工智能系统的负责任设计和部署提供道德框架.
- 引导人工智能的发展,以维护医疗保健教育中的伦理原则.
主要方法:
- 提出了负责人工智能设计的五大支柱框架:透明度,公平和正义,安全和福祉,问责制和协作.
- 基于对心电图解读培训和电子健康可穿戴设备的先前研究.
主要成果:
- 透明度强调AI的解释性.
- 公平与正义解决了数据偏见,并促进了公平的培训成果.
- 安全和福祉在人工智能设计中优先考虑患者安全.
- 问责制确立了对人工智能决策的明确责任.
- 合作促进利益相关者之间的跨学科团队合作.
结论:
- 拟议的框架为医学,特别是医疗培训中的道德AI实施提供了实用指南.
- 负责的人工智能设计对于推进医疗保健和医学教育,同时维护道德标准至关重要.
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