走向多方利益相关者进程,在消费者健康领域发展负责任的AI治理
Leon Rozenblit1, Amy Price2, Anthony Solomonides3
1Q.E.D. Institute, New Haven, CT, United States; Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; Yale School of Management, New Haven, CT, United States.
International journal of medical informatics
|December 6, 2024
概括
为消费者健康AI制定量身定制的治理至关重要. 一个以患者需求和透明度为中心的多利益相关方方法,确保AI是安全,有效和值得信赖的.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 人工智能治理 AI治理
背景情况:
- 人工智能在医疗保健中的快速发展既带来了机遇,也带来了风险.
- 目前的人工智能治理缺乏针对消费者健康的特定领域建议.
- 一般指南可能会在不同的医疗保健环境中产生意想不到的后果.
研究的目的:
- 探索消费者面临的健康AI的务实,多利益相关者治理方法.
- 为消费者健康建立一个量身定制的治理框架.
- 确定健康人工智能治理模型的关键约束和理想特征.
主要方法:
- 这是一个为期四个月的多学科专家共识过程,涉及近200名参与者.
- 综合洞察力,以指导拟议治理模型的开发.
- 专注于协作审议,以提供实际解决方案.
主要成果:
- 一个共识强调限制范围,并纳入多个利益相关者,以患者为中心的观点.
- 理想的治理特征包括适应能力,患者赋权和透明度.
- 一个推的途径是组建一个健康人工智能消费者联盟 (HAIC2),以协调激励措施.
结论:
- 消费者发言权,透明度和平衡监督等核心主题在全球范围内具有重要意义.
- 关于多利益相关者协调和患者赋权的建议原则可以确保人工智能是安全,有效,公平和值得信赖的 (SEET).
- 这一框架为管理全球消费者健康中的AI提供了一种富有成效的方法.
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