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Enhancing Data Science Ethics Through Statistical Education and Practice
International Statistical Review ( IF 1.7 ) Pub Date : 2021-03-18 , DOI: 10.1111/insr.12446
Jessica Utts 1
Affiliation  

As sources of data become more plentiful and massive datasets are easier to acquire, new ethical issues arise involving data quality and privacy, and the analysis, interpretation and dissemination of data‐driven decisions. There are numerous anecdotes involving abuses of complex data analyses and algorithms, and the impact they have had on society. In this paper, we discuss what statisticians can do to help enhance data science ethics in practice and what statistics educators can do to instil sound ethical behaviour in our students. We have opportunities to practice and teach ethical conduct relevant to all stages of the data life cycle. This paper discusses issues impacting ethical data science, with a focus on how statisticians can help raise awareness and encourage implementation of ethical best practices.

中文翻译:

通过统计教育和实践增强数据科学道德

随着数据来源的丰富和易于获取海量数据集,出现了新的道德问题,涉及数据质量和隐私以及数据驱动决策的分析,解释和传播。有许多轶事涉及对复杂数据分析和算法的滥用,以及它们对社会的影响。在本文中,我们讨论了统计学家在实践中可以采取哪些措施来增强数据科学道德,以及统计学家可以采取哪些措施来灌输学生的良好道德行为。我们有机会练习和教授与数据生命周期各个阶段有关的道德行为。本文讨论了影响道德数据科学的问题,重点关注统计学家如何帮助提高意识并鼓励道德最佳实践的实施。
更新日期:2021-04-08
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