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Enhancing Data Science Ethics Through Statistical Education and Practice

Jessica Utts

2021International Statistical Review17 citationsDOI

Abstract

Summary 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.

Topics & Concepts

Engineering ethicsEthical issuesData scienceData qualityInterpretation (philosophy)Computer scienceQuality (philosophy)Management sciencePsychologyEngineeringEpistemologyPhilosophyMetric (unit)Programming languageOperations managementStatistics Education and MethodologiesData Analysis with RStatistical Methods and Bayesian Inference
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