在医疗保健中制定自我监管治理框架的人工智能研究:来自韩国的见解
Junhewk Kim1, So Yoon Kim2, Eun-Ae Kim3
1Department of Dental Education, College of Dentistry, Yonsei University, Seoul, South Korea.
Asian bioethics review
|July 18, 2024
概括
韩国 韩国 韩国 韩国
科学领域:
- 医学伦理 医学伦理
- 人工智能研究 人工智能研究
- 医疗保健 人工智能 治理 管理
背景情况:
- 现有的临床试验伦理框架为医疗保健人工智能研究提供了基础.
- 医疗保健人工智能研究在开发,评估和可修改性方面提出了独特的挑战.
- 韩国政府于2023年8月发布了关于人工智能在医疗保健研究伦理方面的新指南.
研究的目的:
- 分析和证明韩国医疗保健人工智能研究的伦理治理体系.
- 详细介绍医疗保健人工智能研究伦理学的扩展六阶段过程,从临床试验中改编.
- 确定拟议的道德治理模型的优点和局限性.
主要方法:
- 对临床试验过程和医疗保健人工智能研究阶段的比较分析.
- 阐明六个阶段的伦理框架:初步审查,数据集创建,模型开发,培训/验证/评估,应用和部署后监测.
- 识别特定于医疗保健的伦理要求和治理需求.
主要成果:
- 为医疗保健人工智能研究开发了一个六阶段的伦理治理模型,扩展了传统的四阶段临床试验结构.
- 在临床试验和医疗保健人工智能研究之间,在研究对象,管理,法规和结果应用方面发现了相似之处.
- 在研发流程,结果评估和可修改性方面的关键差异,需要对医疗保健人工智能治理采取不同的方法.
结论:
- 拟议的六阶段模型为医疗保健人工智能研究提供了一个结构化的道德治理框架.
- 局限性包括依赖自我监管和不清楚的责任,需要持续的修订和教育.
- 未来在研究人员教育和指导方针修订方面的努力对于在韩国建立一个强大的伦理框架至关重要.
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