Critical data ethics pedagogies: Three (non-rival) approaches

In a moment of heightened ethical questioning concerning data-intensive analytics, “data ethics” has become a site of dispute over its very definition in teaching, research, and practice. In this paper, we contextualize this dispute based on the experience of teaching data ethics. We describe how th...

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Main Authors: Luis Felipe R Murillo, Caitlin Wylie, Phil Bourne
Format: Article
Language:English
Published: SAGE Publishing 2023-07-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/20539517231203666
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author Luis Felipe R Murillo
Caitlin Wylie
Phil Bourne
author_facet Luis Felipe R Murillo
Caitlin Wylie
Phil Bourne
author_sort Luis Felipe R Murillo
collection DOAJ
description In a moment of heightened ethical questioning concerning data-intensive analytics, “data ethics” has become a site of dispute over its very definition in teaching, research, and practice. In this paper, we contextualize this dispute based on the experience of teaching data ethics. We describe how the field of computer ethics has historically informed the training of computer experts and how, in recent years, the scholarship on science and technology studies has created opportunities for transforming the way we teach with the inclusion of critical scholarship on relational ethics and sociotechnical systems. The emergent literature on “critical data ethics” has created a space for interdisciplinary collaboration that integrates technical and social science research to examine digital systems in their design, implementation, and use through a hands-on approach. As a contribution to the recent efforts to reimagine and transform the field of data science, we conclude with a discussion of the approach we devised to bridge technology/society divides and engage students with questions of social justice, accountability, and openness in their data practices.
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spelling doaj.art-0566bc2454c042289e1bb05beb059c792023-10-17T09:03:43ZengSAGE PublishingBig Data & Society2053-95172023-07-011010.1177/20539517231203666Critical data ethics pedagogies: Three (non-rival) approachesLuis Felipe R Murillo0Caitlin Wylie1Phil Bourne2 Notre Dame, USA Charlottesville, USA Charlottesville, USAIn a moment of heightened ethical questioning concerning data-intensive analytics, “data ethics” has become a site of dispute over its very definition in teaching, research, and practice. In this paper, we contextualize this dispute based on the experience of teaching data ethics. We describe how the field of computer ethics has historically informed the training of computer experts and how, in recent years, the scholarship on science and technology studies has created opportunities for transforming the way we teach with the inclusion of critical scholarship on relational ethics and sociotechnical systems. The emergent literature on “critical data ethics” has created a space for interdisciplinary collaboration that integrates technical and social science research to examine digital systems in their design, implementation, and use through a hands-on approach. As a contribution to the recent efforts to reimagine and transform the field of data science, we conclude with a discussion of the approach we devised to bridge technology/society divides and engage students with questions of social justice, accountability, and openness in their data practices.https://doi.org/10.1177/20539517231203666
spellingShingle Luis Felipe R Murillo
Caitlin Wylie
Phil Bourne
Critical data ethics pedagogies: Three (non-rival) approaches
Big Data & Society
title Critical data ethics pedagogies: Three (non-rival) approaches
title_full Critical data ethics pedagogies: Three (non-rival) approaches
title_fullStr Critical data ethics pedagogies: Three (non-rival) approaches
title_full_unstemmed Critical data ethics pedagogies: Three (non-rival) approaches
title_short Critical data ethics pedagogies: Three (non-rival) approaches
title_sort critical data ethics pedagogies three non rival approaches
url https://doi.org/10.1177/20539517231203666
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