向负责任的AI治理:平衡在医疗保健中对AI的多利益相关方观点
Leon Rozenblit1, Amy Price2, Anthony Solomonides3
1Q.E.D. Institute, New Haven, CT, USA; Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, USA; Yale School of Management, New Haven, CT, USA.
International journal of medical informatics
|July 18, 2025
概括
本研究介绍了管理医疗保健中的人工智能 (AI) 的认知框架. 它提出了三个特定领域的模型,通过透明,包容和不断发展的治理策略来确保AI的安全,有效性,公平和信任 (SEET).
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能治理管理 人工智能治理
- 生物医学伦理 生物医学伦理
背景情况:
- 人工智能 (AI) 快速整合到医疗保健中,带来了重大的治理挑战.
- 将AI的速度和范围与安全性,有效性,公平性和信任 (SEET) 的平衡至关重要.
- 提出了一个认知框架来指导医疗保健中的AI治理.
研究的目的:
- 为医疗保健中人工智能开发一个结构化的治理模型.
- 协调有关人工智能挑战和道德原则的不同利益相关者的观点.
- 为医疗保健部门负责任地整合人工智能制定路线图.
主要方法:
- 一个多学科的团队召开了蓝图信任会议.
- 讨论涉及来自各个部门的190名参与者.
- 为临床决策支持 (CDS),现实世界证据 (RWE) 和消费者健康 (CH) 领域开发了三种不同的治理模型.
主要成果:
- 为CDS,RWE和CH创建了三个量身定制的治理模型.
- 建议包括健康人工智能消费者联盟和自愿认证.
- 拟议的模型通过透明度和包容性,平衡快速AI适应与SEET保障.
结论:
- 积极主动,基于约束的治理框架对于负责任的医疗保健AI至关重要.
- 这种多利益相关方的方法为道德和透明的人工智能治理提供了路线图.
- 该框架旨在增强对医疗保健人工智能应用的信任和安全.
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