AI-Y:全球范围内的人口伦理的AI检查清单
Yulin Hswen1, John A Naslund2, Margaret Hurley1
1Department of Epidemiology and Biostatistics and Medicine, University of California, San Francisco, USA.
Current epidemiology reports
|July 14, 2025
概括
人工智能 (AI) 在公共卫生方面表现有希望,但往往缺乏道德考虑. "AI-Y检查清单"揭示了广泛存在的伦理差距,强调需要超越技术卓越的协调,以实现负责任的AI部署.
科学领域:
- 公共卫生 公共卫生
- 人工智能伦理学 人工智能伦理学
- 全球健康 全球健康
背景情况:
- 人工智能用于公共卫生的开发往往忽视了伦理方面的考虑,特别是在资源较低的环境中.
- 问题包括统一的培训数据和有限的可访问性,在问责制和治理方面造成道德差距.
- 六项全球案例研究强调了人工智能在诊断和护理方面的潜力,以及道德挑战.
研究的目的:
- 引入和应用AI-Y人口伦理检查清单框架.
- 评估AI在全球公共卫生中的道德发展和部署.
- 确定在人口健康中适合环境的AI使用的原则.
主要方法:
- 人工智能在公共卫生中的叙述性审查.
- 应用AI-Y人口伦理检查清单.
- 分析了六个关于人工智能在医疗保健中的全球不同案例研究.
主要成果:
- 伦理盲点在公共卫生人工智能中普遍存在,特别是在概括性,问责制和透明度方面.
- 大多数评估的AI系统未能满足诸如访问和本地化验证之类的伦理标准.
- 仅仅是技术能力是不够的;道德上的协调对于负责任的AI实施至关重要.
结论:
- AI-Y检查清单提供了一个可扩展的框架来识别AI风险,并指导公共卫生中的道德决策.
- 标准化的评估和社区共同设计对于负责任的AI至关重要.
- 未来的研究应该集中在政策和治理上,以确保人工智能推进健康伦理.
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