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

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.

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Publication Details

Journal
Economics and Politics
Published
2024-11-03
DOI
https://doi.org/10.1111/ecpo.12325
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Longxiang Luo, Bing Wang, Xiuli Wang
Economics and Politics
Ethics and Social Impacts of AI
article

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

Longxiang Luo, Bing Wang, Xiuli Wang
article en

Abstract

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.

Economics and PoliticsVol. 37(1)
University of Illinois Urbana-Champaign (US), Peking University (CN), University of California, Davis (US), Tsinghua University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Ethics and Social Impacts of AI
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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 — Longxiang Luo, Bing Wang, et al. · Economics and Politics (2024) | TGRS Research Map | TGRS