How people connect fairness and equity when they talk about data uses

As a mechanism for addressing data-related harms, fairness has been subjected to considerable criticism, seen as failing to acknowledge the power relationships that produce said harms, or as a ‘floating signifier’ devoid of specific meaning. In contrast to fairness, it is argued that equity does a better job of recognising data-related harms. Criticisms such as these emerge in specific cultural contexts and rarely acknowledge everyday understandings of terms and concepts. This paper engages with these criticisms, drawing on research exploring how 112 UK residents perceive data uses in specific public service organisations. We found that participants perceive fairness and equity to be interwoven with each other, a finding which shows that who gets to define what is fair matters and which challenges assumptions about what does and does not constitute thinking and talking data politics. We conclude by proposing that linking fairness with equity can be seen as a kind of everyday data solidarity.

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Publication Details

Journal
Big Data & Society
Published
2024-12-01
DOI
https://doi.org/10.1177/20539517241303162
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05

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article

How people connect fairness and equity when they talk about data uses

Mark Taylor, Itzelle Medina-Perea, Jo Bates, Helen Kennedy et al.
2 citations
Big Data & Society
Ethics and Social Impacts of AI
1.05
article

How people connect fairness and equity when they talk about data uses

Mark Taylor, Itzelle Medina-Perea, Jo Bates, Helen Kennedy, Susan Oman, Monika Frątczak, Hannah Ditchfield
article en
2 citations

Abstract

As a mechanism for addressing data-related harms, fairness has been subjected to considerable criticism, seen as failing to acknowledge the power relationships that produce said harms, or as a ‘floating signifier’ devoid of specific meaning. In contrast to fairness, it is argued that equity does a better job of recognising data-related harms. Criticisms such as these emerge in specific cultural contexts and rarely acknowledge everyday understandings of terms and concepts. This paper engages with these criticisms, drawing on research exploring how 112 UK residents perceive data uses in specific public service organisations. We found that participants perceive fairness and equity to be interwoven with each other, a finding which shows that who gets to define what is fair matters and which challenges assumptions about what does and does not constitute thinking and talking data politics. We conclude by proposing that linking fairness with equity can be seen as a kind of everyday data solidarity.

Big Data & SocietyVol. 11(4)
University of Sheffield (GB)
Nuffield Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Ethics and Social Impacts of AI
1.05
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How people connect fairness and equity when they talk about data uses — Mark Taylor, Itzelle Medina-Perea, et al. · Big Data & Society (2024) | TGRS Research Map | TGRS