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大数据的多样性:综述。

Diversity in Big Data: A Review.

机构信息

1 Department of Computer Science, University of Ioannina , Ioannina, Greece .

2 Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan.

出版信息

Big Data. 2017 Jun;5(2):73-84. doi: 10.1089/big.2016.0054.

Abstract

Big data technology offers unprecedented opportunities to society as a whole and also to its individual members. At the same time, this technology poses significant risks to those it overlooks. In this article, we give an overview of recent technical work on diversity, particularly in selection tasks, discuss connections between diversity and fairness, and identify promising directions for future work that will position diversity as an important component of a data-responsible society. We argue that diversity should come to the forefront of our discourse, for reasons that are both ethical-to mitigate the risks of exclusion-and utilitarian, to enable more powerful, accurate, and engaging data analysis and use.

摘要

大数据技术为整个社会及其个体成员带来了前所未有的机遇。与此同时,这项技术也给那些被忽视的人带来了巨大的风险。在本文中,我们概述了最近在多样性方面的技术工作,特别是在选择任务方面,讨论了多样性和公平性之间的联系,并确定了未来的工作方向,这些工作将使多样性成为一个负责任的数据社会的重要组成部分。我们认为,出于道德原因(减轻排斥风险)和功利主义原因(实现更强大、准确和吸引人的数据分析和使用),多样性应该成为我们讨论的重点。

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