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Jan, 2021
重新构想印度及其他地区的算法公正性
Re-imagining Algorithmic Fairness in India and Beyond
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Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
TL;DR
本文分析了印度的AI力量和算法公平性,认为印度数据不稳定、机器学习开发者存在双重标准,因此在该地区只关注模型公平性是表面文章。提出了重新构想印度算法公平性的方案,重新定位数据和模型,并赋权受压迫群体,支持公正的机器学习生态系统。
Abstract
Conventional
algorithmic fairness
is West-centric, as seen in its sub-groups, values, and methods. In this paper, we de-center
algorithmic fairness
and analyse
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