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AI, big data and bias: governing datafication through a data justice lens

In: Handbook of Media and Communication Governance

Author

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  • Arne Hintz

Abstract

This chapter addresses questions of data and AI governance from the perspective of data justice, a conceptual lens that explores how datafication affects social justice, such as social welfare, civic rights and equality and how social, political and economic developments impact datafication. Drawing from a UK/European research centre’s work on data justice, the chapter outlines the harms that datafication may generate and then points to examples of policy frameworks that have addressed some challenges and of institutional governance models that complement legal and regulatory approaches. It investigates conceptual shortcomings reflected in current policy efforts and explores ways of democratizing data governance. While focusing on ‘data’ as the underlying resource for automation and AI applications, and ‘datafication’ as a process of social transformation, it expands this perspective to recent developments in AI policy: What kinds of governance agendas are required if we apply the norms and concerns of data justice?

Suggested Citation

  • Arne Hintz, 2024. "AI, big data and bias: governing datafication through a data justice lens," Chapters, in: Manuel Puppis & Robin Mansell & Hilde Van den Bulck (ed.), Handbook of Media and Communication Governance, chapter 39, pages 526-537, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20752_39
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    File URL: https://www.elgaronline.com/doi/10.4337/9781800887206.00051
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