Glitch Studies and the Ambiguous Objectivity of Algorithms

D. Kolkman, Jakko Kemper
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引用次数: 1

Abstract

Algorithms play an increasingly central part in our societies. The impact of these quantification objects extends beyond our everyday interactions with information technology. Algorithms contribute to the evidence-base that underpins organisational decision-making of public and private sector organisations. The decisions that algorithms help inform may guide the allocation of substantial resources and consequentially deeply affect the lives of people across the globe. Algorithms are perceived as the state-of-the art and fulfil a desire to overcome inefficiencies in the decision-making process by employing the best available information. Despite their veneer of objectivity, algorithms are as much as art as they are science. We discuss the role of algorithms in organisational decision-making from a glitch studies perspective. We demonstrate that algorithms are not as objective as they are generally held to be, that their operations transcend human cognition, and conclude that glitch studies offer a valuable perspective to describe, understand, and critique the role of algorithms.
故障研究与算法的模糊客观性
算法在我们的社会中扮演着越来越重要的角色。这些量化对象的影响超出了我们与信息技术的日常互动。算法有助于建立证据基础,支撑公共和私营部门组织的组织决策。算法帮助做出的决定可能会指导大量资源的分配,从而深刻影响全球人民的生活。算法被认为是最先进的,并通过采用最佳可用信息来实现克服决策过程中效率低下的愿望。尽管它们表面上是客观的,但算法既是科学,也是艺术。我们从故障研究的角度讨论了算法在组织决策中的作用。我们证明,算法并不像人们通常认为的那样客观,它们的操作超越了人类的认知,并得出结论,故障研究为描述、理解和批评算法的作用提供了一个有价值的视角。
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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