The ethics of AI value chains

Researchers, practitioners, and policymakers with an interest in the ethics of artificial intelligence (AI) need more integrative approaches for studying and intervening in AI systems across many contexts and scales of activity. This paper presents AI value chains as an integrative concept that sati...

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Main Authors: Blair Attard-Frost, David Gray Widder
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/20539517251340603
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author Blair Attard-Frost
David Gray Widder
author_facet Blair Attard-Frost
David Gray Widder
author_sort Blair Attard-Frost
collection DOAJ
description Researchers, practitioners, and policymakers with an interest in the ethics of artificial intelligence (AI) need more integrative approaches for studying and intervening in AI systems across many contexts and scales of activity. This paper presents AI value chains as an integrative concept that satisfies that need. To more clearly theorize AI value chains and conceptually distinguish them from supply chains, we review theories of value chains and AI value chains from strategic management, service science, economic geography, industry, government, and applied research literature. We then conduct an integrative review of a sample of 67 sources that cover the ethical concerns implicated in AI value chains. Building upon the findings of our integrative review, we recommend three future directions that researchers, practitioners, and policymakers can take to advance more ethical practices across AI value chains. We urge AI ethics researchers and practitioners to move toward value chain perspectives that situate actors in context, account for the many types of resources involved in cocreating AI systems, and integrate a wider range of ethical concerns across contexts and scales.
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spelling doaj-art-4b86f0e032b4495980f08028ed6d820e2025-08-20T03:52:41ZengSAGE PublishingBig Data & Society2053-95172025-06-011210.1177/20539517251340603The ethics of AI value chainsBlair Attard-Frost0David Gray Widder1 Faculty of Information, , Toronto, Ontario, Canada Digital Life Initiative, Cornell Tech, Cornell University, New York City, NY, USAResearchers, practitioners, and policymakers with an interest in the ethics of artificial intelligence (AI) need more integrative approaches for studying and intervening in AI systems across many contexts and scales of activity. This paper presents AI value chains as an integrative concept that satisfies that need. To more clearly theorize AI value chains and conceptually distinguish them from supply chains, we review theories of value chains and AI value chains from strategic management, service science, economic geography, industry, government, and applied research literature. We then conduct an integrative review of a sample of 67 sources that cover the ethical concerns implicated in AI value chains. Building upon the findings of our integrative review, we recommend three future directions that researchers, practitioners, and policymakers can take to advance more ethical practices across AI value chains. We urge AI ethics researchers and practitioners to move toward value chain perspectives that situate actors in context, account for the many types of resources involved in cocreating AI systems, and integrate a wider range of ethical concerns across contexts and scales.https://doi.org/10.1177/20539517251340603
spellingShingle Blair Attard-Frost
David Gray Widder
The ethics of AI value chains
Big Data & Society
title The ethics of AI value chains
title_full The ethics of AI value chains
title_fullStr The ethics of AI value chains
title_full_unstemmed The ethics of AI value chains
title_short The ethics of AI value chains
title_sort ethics of ai value chains
url https://doi.org/10.1177/20539517251340603
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