Compounding barriers to fairness in the digital technology ecosystem

Sandra I. Woolley, Tim Collins, Peter Andras, Allison Gardner, M. Ortolani, J. Pitt
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引用次数: 1

Abstract

A growing sense of unfairness permeates our quasi-digital society. Despite drivers supporting and motivating ethical practice in the digital technology ecosystem, there are compounding barriers to fairness that, at every level, impact technology innovation, delivery and access. Amongst these are barriers and omissions at the earliest stages of technology intentionality and design; systemic inadequacies in sensing systems that deteriorate performance for individuals based on ethnicity, age and physicality; system design, co-requisite and interface decisions that limit access; biases and inequities in datasets and algorithms; and limiting factors in system function and security. Additionally, there are concerns about unethical and illegal practices amongst digital technology providers: for example, in planned obsolescence and anti-competitive behaviors, failings in data practices and security, and in responses to problematic use and behaviors. It is critical that these failings are identified and addressed to better evolve a fairer future digital technology ecosystem. This paper contributes a perspective on technological stewardship and innovation; it identifies the compounding nature of barriers to fairness in the current digital technology ecosystem, and contrasts these with the non-compounding fairness drivers that, in general, establish minimum requirements.
增加了数字技术生态系统中公平的障碍
越来越多的不公平感弥漫在我们的准数字社会。尽管数字技术生态系统中存在支持和激励道德实践的驱动因素,但在各个层面上都存在影响技术创新、交付和获取的公平障碍。其中包括在技术意向性和设计的早期阶段的障碍和遗漏;传感系统的系统性不足,导致基于种族、年龄和身体状况的个人表现恶化;限制访问的系统设计、共通条件和接口决定;数据集和算法中的偏见和不公平;以及系统功能和安全性方面的限制因素。此外,人们还担心数字技术提供商之间的不道德和非法行为:例如,计划报废和反竞争行为,数据实践和安全方面的失败,以及对有问题的使用和行为的反应。至关重要的是,这些缺陷被发现并解决,以更好地发展一个更公平的未来数字技术生态系统。本文提供了技术管理与创新的视角;它确定了当前数字技术生态系统中公平障碍的复合性质,并将其与一般建立最低要求的非复合公平驱动因素进行了对比。
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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