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Algorithmic Fairness Perception: How Social Justice Beliefs Influence Public Acceptance of AI Systems

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  • Xinchen Zhang

    (Anhui Polytechnic University, China)

Abstract

Algorithmic fairness is becoming central to public discourse as beliefs about social justice increasingly come to bear on trust in technology. Using survey and behavioral data from multiple regions, this study employs structural equation modeling and mediation analysis to examine how social justice beliefs influence public acceptance of artificial intelligence through algorithmic fairness perception. Results show both direct and indirect effects, with mechanism strength varying during societal disruptions. The findings highlight the combined role of institutional context, trust, and literacy, offering insights beyond technical approaches to algorithmic fairness. The long-term dynamics involved in this issue warrant further study.

Suggested Citation

  • Xinchen Zhang, 2026. "Algorithmic Fairness Perception: How Social Justice Beliefs Influence Public Acceptance of AI Systems," International Journal of Intelligent Information Technologies (IJIIT), IGI Global Scientific Publishing, vol. 22(1), pages 1-18, January.
    • Handle: RePEc:igg:jiit00:v:22:y:2026:i:1:p:1-18
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