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机器学习中“公平”的权威

The Authority of "Fair" in Machine Learning
课程网址: http://videolectures.net/kdd2017_skirpan_machine_learning/  
主讲教师: Michael Skirpan
开课单位: 视频讲座网
开课时间: 2017-12-01
课程语种: 英语
中文简介:
在这篇论文中,我们主张在机器学习社区中采用公平的规范性定义。在描述了这个定义之后,我们根据它的含义回顾了当前的文献。最后,我们提出了一些方法来合并更广泛的社区,并引发了关于如何决定ML中什么是公平的进一步辩论。
课程简介: In this paper, we argue for the adoption of a normative definition of fairness within the machine learning community. After characterizing this definition, we review the current literature of Fair ML in light of its implications. We end by suggesting ways to incorporate a broader community and generate further debate around how to decide what is fair in ML.
关 键 词: 机器学习; 公平定义; 公平辩论
课程来源: 视频讲座网
数据采集: 2022-11-20:chenxin01
最后编审: 2022-11-20:chenxin01
阅读次数: 26