Responsible Data Science for Genocide Prevention

IF 0.3 Q3 HISTORY & PHILOSOPHY OF SCIENCE
Victor Piercey
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引用次数: 0

Abstract

The term “genocide” emerged out of an effort to describe mass atrocities committed in the first half of the 20 th century. Despite a convention of the United Nations outlawing genocide as a matter of international law, the problem persists. Some organizations (including the United Nations) are developing indicator frameworks and “early-warning” systems that leverage data science to produce risk assessments of countries where conflict is present. These tools raise questions about responsible data use, specifically regarding the data sources and social biases built into algorithms through their training data. This essay seeks to engage mathematicians in discussing these concerns.
防止种族灭绝的负责任数据科学
“种族灭绝”一词的出现是为了描述20世纪上半叶发生的大规模暴行。尽管联合国的一项公约将种族灭绝作为一项国际法规定为非法,但这个问题仍然存在。一些组织(包括联合国)正在开发指标框架和“预警”系统,利用数据科学对存在冲突的国家进行风险评估。这些工具提出了关于负责任的数据使用的问题,特别是关于通过训练数据构建到算法中的数据源和社会偏见。这篇文章试图让数学家参与讨论这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Humanistic Mathematics
Journal of Humanistic Mathematics HISTORY & PHILOSOPHY OF SCIENCE-
自引率
33.30%
发文量
45
审稿时长
52 weeks
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