在采用人工智能在公共卫生中的关键考虑因素
Itai Bavli1,2, Sandro Galea2
1School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
PLOS digital health
|July 1, 2024
概括
人工智能 (AI) 可以通过改善疾病监测和治疗来彻底改变公共卫生. 然而,仔细考虑人工智能.
科学领域:
- 公共卫生 公共卫生
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 的整合正在改变公共卫生服务.
- 人工智能在疾病监测,诊断和治疗决策方面提供了潜在的好处.
研究的目的:
- 调查在公共卫生中引导人工智能技术的价值观.
- 探索人工智能整合对公共卫生结果的影响.
主要方法:
- 在公共卫生中对人工智能的文献综述和概念分析.
- 检查AI算法中的伦理考虑和潜在偏见.
主要成果:
- 人工智能的有效性取决于解决输入,价值和偏见的关键问题.
- 人工智能在公共卫生中的四个关键考虑因素包括数据完整性,决策权衡,相互冲突的目标和嵌入式偏见.
结论:
- 承认和管理人工智能的偏见对于公平的公共卫生政策至关重要.
- 未来的人工智能开发必须优先考虑道德考虑和对人口健康的价值调整.
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