The right to audit and power asymmetries in algorithm auditing

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Aleksandra Urman, Ivan Smirnov, Jana Lasser
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引用次数: 0

Abstract

In this paper, we engage with and expand on the keynote talk about the “Right to Audit” given by Prof. Christian Sandvig at the International Conference on Computational Social Science 2021 through a critical reflection on power asymmetries in the algorithm auditing field. We elaborate on the challenges and asymmetries mentioned by Sandvig — such as those related to legal issues and the disparity between early-career and senior researchers. We also contribute a discussion of the asymmetries that were not covered by Sandvig but that we find critically important: those related to other disparities between researchers, incentive structures related to the access to data from companies, targets of auditing and users and their rights. We also discuss the implications these asymmetries have for algorithm auditing research such as the Western-centrism and the lack of the diversity of perspectives. While we focus on the field of algorithm auditing specifically, we suggest some of the discussed asymmetries affect Computational Social Science more generally and need to be reflected on and addressed.

审计权与算法审计中的权力不对称
在本文中,我们通过对算法审计领域权力不对称的批判性反思,对克里斯蒂安-桑德维希教授在 2021 年计算社会科学国际会议上发表的关于 "审计权 "的主题演讲进行了参与和扩展。我们详细阐述了桑德维希提到的挑战和不对称--例如与法律问题和早期研究人员与资深研究人员之间的差距有关的挑战和不对称。我们还对桑德维希未涉及但我们认为非常重要的不对称现象进行了讨论:研究人员之间的其他不对称现象、与获取公司数据有关的激励结构、审计目标和用户及其权利。我们还讨论了这些不对称对算法审计研究的影响,如西方中心主义和缺乏多元化视角。虽然我们关注的重点是算法审计领域,但我们认为所讨论的一些不对称现象会对计算社会科学产生更广泛的影响,需要加以反思和解决。
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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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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