简单创造不公平:公平、刻板印象和可解释性的含义

J. Kleinberg, S. Mullainathan
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引用次数: 59

摘要

算法可以成为决策的有力辅助——特别是当决策依赖于(甚至是隐含地)预测时[7]。我们已经看到算法在招聘、教育、借贷、医疗和刑事司法等领域发挥了这一作用[2,6,10]。作为典型的机器学习应用,准确性是这些任务的重要衡量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability
Algorithms can be a powerful aid to decision-making - particularly when decisions rely, even implicitly, on predictions [7]. We are already seeing algorithms play this role in domains including hiring, education, lending, medicine, and criminal justice [2, 6, 10]. As is typical in machine learning applications, accuracy is an important measure for these tasks.
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