算法治国方略

IF 0.9 3区 哲学 Q2 HISTORY & PHILOSOPHY OF SCIENCE
Osiris Pub Date : 2023-01-01 DOI:10.1086/725134
Alma Steingart
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引用次数: 0

摘要

整个20世纪20年代,国会都未能通过拨款法案。失败的各种原因之一是国会无法决定哪种方法或算法应该管理分配。两种相互竞争的方法,主要分数和相等比例,上升到了顶端,每种方法的支持者都声称他的方法提供了唯一“公平”和“公正”的解决方案。在这场早期的辩论之后,本章认为,当代对算法公平性和平等性的担忧并不是从其复杂性的本质中产生的。相反,它们存在于数学和社会理性之间的不可通约性,以及两者之间巨大的解释空间。“公平”的定义不仅多种多样,而且通过方法或原理描述算法的方式也可能导致完全不同的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statecraft by Algorithms
Throughout the 1920s Congress failed to pass an apportionment bill. Among the various reasons for the failure was Congress’s inability to decide which method, or algorithm, should govern apportionment. Two competing methods, major fractions and equal proportions, rose to the top and the supporter of each claimed that his method offered the only “fair” and “unbiased” solution to the problem. Following this early debate, this chapter argues that contemporary concerns about algorithm fairness and equality do not emerge out of the nature of their complexity. Rather, they inhere in the incommensurability between mathematical and social rationales and the wide room for interpretation yawning between the two. Not only are definitions of “fairness” multiple but how algorithms are described, either through method or through principle, can lead to completely different results.
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来源期刊
Osiris
Osiris 管理科学-科学史与科学哲学
CiteScore
1.10
自引率
0.00%
发文量
18
审稿时长
>12 weeks
期刊介绍: Founded in 1936 by George Sarton, and relaunched by the History of Science Society in 1985, Osiris is an annual thematic journal that highlights research on significant themes in the history of science. Recent volumes have included Scientific Masculinities, History of Science and the Emotions, and Data Histories.
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