BriefGPT.xyz
Jun, 2024
机器学习中的长期公平性调查和追求: 定义、方法和挑战的综述
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
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Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes...
TL;DR
通过研究现有文献，本调查从不同角度回顾了长期公平性的研究，并提出了一个分类法。我们突出了一些关键挑战，考虑了未来的研究方向，分析了现有的问题和潜在的深入探索。
Abstract
The widespread integration of
machine learning systems
in daily life, particularly in high-stakes domains, has raised concerns about the
fairness implications
. While prior works have investigated static fairness
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