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Are algorithms always fair? The study on public preferences toward algorithmic decision‐making: A case study from the perspectives of decision scenarios and social roles

Author

Listed:
  • Bing Wang
  • Longxiang Luo
  • Xiuli Wang

Abstract

The integration of algorithmic decision‐making into daily life gives rise to a need to understand public attitudes toward this phenomenon. This study uses online experiments to explore how decision scenarios and roles influence public preferences for algorithms. In‐depth interviews were conducted to examine interpretations of algorithmic fairness. The findings indicate a preference for algorithms, yet a stronger preference for human decision‐making in ethically complex scenarios. Decision‐makers demonstrate greater acceptance of algorithms. Participants perceive algorithmic fairness from social and technical perspectives, emphasizing autonomy and transparency. Despite a general preference for algorithms, concerns persist, revealing a nuanced view of algorithmic fairness as a form of societal power.

Suggested Citation

  • Bing Wang & Longxiang Luo & Xiuli Wang, 2025. "Are algorithms always fair? The study on public preferences toward algorithmic decision‐making: A case study from the perspectives of decision scenarios and social roles," Economics and Politics, Wiley Blackwell, vol. 37(1), pages 420-441, March.
    • Handle: RePEc:bla:ecopol:v:37:y:2025:i:1:p:420-441
    DOI: 10.1111/ecpo.12325
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    References listed on IDEAS

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