大数据管理中的伦理问题综述

S. R. Nair
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引用次数: 5

摘要

在当今数字化时代,大数据分析使组织能够快速自动化和分析多个数据和信息来源,从而促进优化决策过程,帮助实现组织目标。然而,从战略角度来看,为最终分析而分析数据是至关重要的,因为可以从多种媒体来源访问的各种数据的可用性使得大数据管理极具挑战性。此外,鉴于大数据分析数据的速度非常快,它可以访问数据-信息,这可能会损害(无意或故意)个人隐私,被滥用等,引发有关数据共享和使用的伦理问题。为了解决这些关于大数据管理中的道德问题,本研究建议使用一个简单的“利益相关者-道德-框架”来开发一个“利益相关者分析方法框架”,该框架与可持续发展指南相关联,有助于实现可持续发展的大数据产业。
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A review on ethical concerns in big data management
In the contemporary digitalised age, big data analytics have enabled organisations to automate and analyse multiple sources of data and information quickly such that it facilitates optimised decision making process that help in achieving organisational goals. While, from a strategic perspective analysing of the data for eventual analysis is vital, given the availability of varieties of data that can be accessed from multiple media sources makes big data management highly challenging. Moreover, given that big data analyses data very fast, it enables access to data-information which could compromise (either inadvertently or deliberately) individual privacy, be misused, etc. raising ethical issues concerning the sharing and usage of data. To address these concerns on ethicality in big data management, this study proposes to use a simple 'stakeholders-ethics-framework' to develop a 'stakeholder analysis approach framework' suggestive be linked to sustainability guidelines that help towards a sustainable big data industry, is assumed.
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