整合公平,多样性和包容性的EDAI框架在AI的整个生命周期,以改善健康和口腔保健:定性研究
Samira Abbasgholizadeh Rahimi1,2,3,4, Richa Shrivastava5, Anita Brown-Johnson1,2
1Department of Family Medicine, McGill University, Montreal, QC, Canada.
Journal of medical Internet research
|November 15, 2024
概括
本研究介绍了人工智能 (EDAI) 中的公平,多样性和包容性框架,以整合整个AI生命周期中的EDI原则. EDAI框架解决了人工智能开发和实施中存在的差距,以实现更公平的系统.
科学领域:
- 医疗保健中的人工智能 (AI)
- 医疗信息学 医疗信息学
- 人工智能伦理学
背景情况:
- 在整合公平,多样性和包容性 (EDI) 原则在AI生命周期中存在重大差距.
- 没有现有的指南支持EDI集成到AI开发和实施中.
研究的目的:
- 确定用于AI生命周期集成的EDI原则和指标.
- 为公平的人工智能系统制定全面的指导框架.
主要方法:
- 在健康和口腔健康范围内对人工智能中的EDI进行系统范围审查.
- 两次国际研讨会,与各种利益相关者.
- 基于研讨会见解的EDAI框架的开发和完善.
主要成果:
- 开发了EDAI框架,将EDI原则和指标整合到整个AI生命周期中.
- 该框架解决了从数据收集到个人,组织和系统层面的实施方面的差距.
- 确定了EDI整合到健康和口腔健康的AI中的促进者和障碍.
结论:
- EDAI框架为将EDI整合到AI开发和部署中提供了一个可行的指导方针.
- 它支持创建技术先进且对EDI敏感的AI系统.
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