人工智能和数据监控:嵌入基于人权的方法
Tsung-Ling Lee1, Sharifah Sekalala2, Pedro Villarreal3
1Graduate Institute of Health and Biotechnology Law, Taipei Medical University, Taipei City, Taiwan.
概括
人工智能 (AI) 可以加强公共卫生监测以检测疫情. 解决隐私,同意和治理问题对于其在流行病准备中的负责任使用至关重要.
科学领域:
- 公共卫生 公共卫生
- 传染病监测 传染病监测 传染病
- 人工智能的人工智能
背景情况:
- 人工智能为分析大型数据集提供了巨大的潜力,以改善公共卫生监测和检测传染病爆发.
- 现有的挑战包括与数据隐私,知情同意和强有力的治理框架相关的关键问题.
- 国际卫生条例目前缺乏明确的规定,用于将AI纳入疾病监测.
研究的目的:
- 探索人工智能在彻底改变公共卫生监测方面的潜力.
- 识别和讨论与在这一领域的人工智能实施相关的持续挑战.
- 概述人工智能在流行病准备战略中负责任地整合的关键考虑因素.
主要方法:
- 对当前公共卫生监测系统的分析.
- 审查现有的关于人工智能在健康中的应用文献.
- 检查人工智能在公共卫生中的道德,法律和社会影响.
- 在AI的背景下对国际卫生法规的评估.
主要成果:
- 人工智能显示出强大的分析大数据集的能力,以识别疫情爆发的模式.
- 关于数据隐私,获取数据使用同意和建立明确的治理结构,仍然存在重大障碍.
- 当前的国际卫生条例并没有专门讨论人工智能的作用或监管.
结论:
- 透明的流程,明确的问责制和促进公众信任对于在公共卫生监测中道德和有效地部署人工智能至关重要.
- 负责任地整合人工智能对于提高疫情防控和应对能力至关重要.
- 未来的框架必须解决人工智能带来的独特挑战,以确保它的好处得到安全和公平的实现.
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