ERIC Number: EJ1444149
Record Type: Journal
Publication Date: 2024
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2693-9169
Philosophy within Data Science Ethics Courses
Sara Colando; Johanna Hardin
Journal of Statistics and Data Science Education, v32 n4 p361-373 2024
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.
Descriptors: Philosophy, Data Science, Ethical Instruction, Ethics, Interdisciplinary Approach, Moral Values, Teaching Methods, Decision Making, Course Descriptions, Assignments
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
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Authoring Institution: N/A
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