Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis
Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis
复制标题
负责任的数据：数据分析的公平、中立和透明
DOI：
10.5441/002/edbt.2016.103
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
G. Miklau
中科院分区：
文献类型：
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作者：
Julia Stoyanovich;S. Abiteboul;G. Miklau
Big data technology holds incredible promise of improving people's lives, accelerating scientific discovery and innovation , and bringing about positive societal change. Yet, if not used responsibly, this technology can propel economic inequality , destabilize global markets and affirm systemic bias. While the potential benefits of big data are well-accepted, the importance of using these techniques in a fair and transparent manner is rarely considered. The primary goal of this tutorial is to draw the attention of the data management community to the important emerging subject of responsible data management and analysis. We will offer our perspective on the issue, will give an overview of existing technical work, primarily from the data mining and algorithms communities, and will motivate future research directions.
