在奥特罗亚新西兰开发COVID-19算法治理框架的经验教训
Daniel Wilson1, Frith Tweedie2, Juliet Rumball-Smith3
1School of Computer Science, Waipapa Taumata Rau/University of Auckland, Auckland, New Zealand.
Journal of the Royal Society of New Zealand
|October 23, 2024
概括
新西兰成立了一个国家算法中心和治理小组,以确保安全有效地使用COVID-19算法. 这种跨学科的方法建立了信任,使研究能够快速转化为流行病应对的实践.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 算法治理的管理方法
背景情况:
- 新西兰使用算法来进行COVID-19决策.
- 新西兰算法中心 (Te Pokapū Hātepe o Aotearoa) 创建以管理这些算法.
- 对于部署的算法的强有力的治理存在着至关重要的需求.
研究的目的:
- 描述一个国家算法治理小组的建立和运作.
- 分享经验和从治理过程中学到的教训.
- 突出了多视角审查对算法实施的重要性.
主要方法:
- 形成一个跨学科的治理小组,拥有多样化的专业知识.
- 包括数据科学,临床,毛利,消费者,道德,公共卫生,隐私,法律和政府视角.
- 开发一个评估和审查COVID-19算法的框架.
主要成果:
- 成功建立了国家算法治理结构.
- 为算法部署创建一个高度信任的平台.
- 演示算法的快速翻译从研究到实践.
结论:
- 强大的,多视角的治理对于在公共卫生中实施可靠的算法至关重要.
- 新西兰模型为国家算法治理提供了一种新的方法.
- 有效的治理有助于在卫生危机期间安全和快速使用算法.
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