Abstract

The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease, resulting in the rapid dissemination of underdeveloped and potentially biased models, which may exacerbate the disparities gap. We believe there is an urgent need to enforce the systematic use of reporting standards and develop regulatory frameworks for a shared COVID-19 data source to address the challenges of bias in AI during this pandemic. There is hope that AI can help guide treatment decisions within this crisis; yet given the pervasiveness of biases, a failure to proactively develop comprehensive mitigation strategies during the COVID-19 pandemic risks exacerbating existing health disparities.

中文翻译：

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偏差以扭曲的速度：在COVID-19时代AI如何促进差异差距。

摘要

从感染率，住院率和死亡率来看，COVID-19大流行对少数民族的影响不成比例。许多人认为，人工智能（AI）是一种指导该新型疾病临床决策的解决方案，可迅速传播欠发达且可能有偏差的模型，这可能会加剧差异悬殊。我们认为，迫切需要对报告标准进行系统的使用，并为共享的COVID-19数据源建立监管框架，以应对这一大流行期间AI偏见的挑战。希望AI可以在这场危机中帮助指导治疗决策；然而，鉴于偏见普遍存在，在COVID-19大流行期间未能主动制定全面的缓解策略的风险加剧了现有的健康差距。