Cascading Expert Failure

Jon Murphy
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引用次数: 3

Abstract

Recent research has shown how experts may fail in their duty as advisors by providing advice that leads to a worse outcome than that anticipated by the user of expert opinion. However, those models have focused on the immediate effects of the failure on experts and nonexperts. Using a cascading network failure model, I show how expert failure can cascade throughout multiple sectors, even those not necessarily purchasing the expert opinion. Consequently, even relatively small failures end up having outsized aggregate effects. To provide evidence of my theory, I look at two case studies of COVID expert advice to show how one seemingly minor failure ended up contributing to the pandemic. I conclude with a discussion on institutional frameworks that can prevent such cascades.
级联专家故障
最近的研究表明,专家可能会因为提供的建议导致比专家意见使用者预期的更糟糕的结果而未能履行其作为顾问的职责。然而,这些模型关注的是失败对专家和非专家的直接影响。使用级联网络故障模型,我展示了专家故障如何在多个部门中级联,甚至是那些不一定购买专家意见的部门。因此,即使是相对较小的失败最终也会产生巨大的总体效应。为了证明我的理论,我研究了两个关于COVID专家建议的案例研究,以展示一个看似微不足道的失败最终如何导致了这场大流行。最后,我将讨论能够防止这种连锁反应的体制框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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