A data ethics framework for responsible responsive organizations in the digital world

Q3 Decision Sciences
Inbal Marcovitch, E. Rancourt
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引用次数: 0

Abstract

Data are an integral part of the normative world and therefore ethics. With the advent of big data and data science, increased attention has been given to the ethics of artificial intelligence. However, data ethics is broader than that and must now be considered on its own as a field of ethics. In this paper, we make the case for the importance of data ethics and propose a general framework to support organizations in adopting ethical data practices. We provide the examples of statistics and standards as two contexts within which data ethics can be advanced and where advancements have already been made.
数字世界中负责任的响应组织的数据伦理框架
数据是规范世界的组成部分,因此也是伦理的组成部分。随着大数据和数据科学的出现,人工智能的伦理问题越来越受到关注。然而,数据伦理比这更广泛,现在必须将其视为一个道德领域。在本文中,我们提出了数据伦理的重要性,并提出了一个总体框架,以支持组织采用道德数据实践。我们提供了统计数据和标准的例子,作为数据伦理可以推进和已经取得进展的两种背景。
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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