The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems
نویسندگان
چکیده
Abstract This article examines the complaint that arbitrary algorithmic decisions wrong those whom they affect. It makes three contributions. First, it provides an analysis of what arbitrariness means in this context. Second, argues is not moral concern except when special circumstances apply. However, same algorithm or different algorithms based on data are used multiple contexts, a person may be arbitrarily excluded from broad range opportunities. The third contribution to explain why systemic exclusion and offer solution address it.
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ژورنال
عنوان ژورنال: Canadian Journal of Philosophy
سال: 2022
ISSN: ['1911-0820', '0045-5091']
DOI: https://doi.org/10.1017/can.2022.3