Philosophy within Data Science Ethics Courses

There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science ethics. There are not always, however, explicit connections between data science ethics and the centuries-old work on ethics within the discipline of philosophy. Here, we present a framework for bringing together key data science practices with ethics topics. The ethics topics were collated from 16 data science ethics courses with public-facing syllabi and reading lists. We encourage individuals who are teaching data science ethics to engage with the philosophical literature and its connection to current data science practices, which are rife with potentially morally charged decision points.

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Publication Details

Journal
Journal of Statistics and Data Science Education
Published
2024-08-26
DOI
https://doi.org/10.1080/26939169.2024.2394542
Citations
6
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
3.16
Controls
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article

Philosophy within Data Science Ethics Courses

Johanna Hardin, Sara Colando
6 citations
Journal of Statistics and Data Science Education
Ethics and Social Impacts of AI
3.16
article

Philosophy within Data Science Ethics Courses

Johanna Hardin, Sara Colando
article en
6 citations

Abstract

There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science ethics. There are not always, however, explicit connections between data science ethics and the centuries-old work on ethics within the discipline of philosophy. Here, we present a framework for bringing together key data science practices with ethics topics. The ethics topics were collated from 16 data science ethics courses with public-facing syllabi and reading lists. We encourage individuals who are teaching data science ethics to engage with the philosophical literature and its connection to current data science practices, which are rife with potentially morally charged decision points.

Journal of Statistics and Data Science EducationVol. 32(4)
Pomona College (US)
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
3.16
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