期刊论文详细信息
Journal of Humanistic Mathematics
Responsible Data Science for Genocide Prevention
article
Victor Piercey1 
[1] Ferris State University
关键词: data science;    ethics;    genocide;    social justice;    international affairs;    political conflict;   
DOI  :  10.5642/jhummath.DNFZ3077
学科分类:社会科学、人文和艺术(综合)
来源: Claremont Center for the Mathematical Sciences
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【 摘 要 】

The term "genocide" emerged out of an effort to describe mass atrocities committed in the first half of the 20th 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.

【 授权许可】

CC BY-NC-ND   

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