Philosophy within Data Science Ethics Courses


Tuesday, October 8th, 20244:00 pm – 4:45 pm ET

Presented by: Sara Colando (Carnegie Mellon University) and Johanna Hardin (Pomona College)


Abstract

In this October edition of the JSDSE/CAUSE webinar series, we highlight the 2024 article 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, the speakers present a framework for bringing together key data science practices with ethics topics. The ethics topics were collated from sixteen data science ethics courses with public-facing syllabi and reading lists. The speakers 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.


Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2024.2394542

 


 


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