在拉丁美洲和加勒比国家的流行病准备和全球治理中民主化人工智能
Ulisses Rocha1,2, Robson Bonidia1,3, Jude Dzevela Kong4
1Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil.
Microbial biotechnology
|October 22, 2025
概括
人工智能 (AI) 为传染病管理提供了至关重要的工具. 全球南方的流行病和流行病准备和应对网络人工智能 (AI4PEP) 促进拉丁美洲和加勒比地区的公平,南方领导的人工智能解决方案.
科学领域:
- 公共卫生 公共卫生
- 传染性疾病 传染性疾病
- 人工智能的人工智能
背景情况:
- 传染病对全球健康构成了持续的挑战,需要先进的预测,检测和应对策略.
- 人工智能 (AI) 已被证明是有助于解决这些挑战的,特别是在COVID-19大流行期间.
- 公平和负责任的人工智能实施至关重要,需要在道德准则和治理方面进行国际合作.
研究的目的:
- 突出全球南方AI在拉丁美洲和加勒比地区 (LAC) 的流行病和流行病准备和应对网络 (AI4PEP) 的举措.
- 检查ALC区域内的人工智能治理模型和相关挑战.
- 强调网络在赋予利益相关者权力,以利用人工智能为传染病准备和应对方面的作用.
主要方法:
- 这篇意见稿回顾了AI4PEP网络在16个国家的跨国努力.
- 专注于特别针对拉丁美洲和加勒比地区的倡议.
- 分析区域人工智能治理框架和采用障碍.
主要成果:
- AI4PEP正在领导一项跨国努力,利用负责任的,南方领导的AI解决方案来加强公共卫生系统.
- 该网络正在积极努力降低人工智能采用障碍,并促进在LAC地区公平获得人工智能驱动的公共卫生创新.
- 这些倡议旨在赋予当地研究人员,医疗保健专业人员和决策者权力.
结论:
- 负责任的,由南方领导的人工智能解决方案对于加强传染病准备和应对至关重要.
- 解决人工智能治理挑战和促进公平获取是利用人工智能在低收入和中等收入国家潜力的关键.
- AI4PEP在LAC的工作展示了通过协作人工智能采用来改善健康结果的模式.
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