The algorithmic bias in creative legitimacy attribution

Jun Bao

doi:10.1016/j.jretconser.2026.105038

The algorithmic bias in creative legitimacy attribution

2026-08-06

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DOI：10.1016/j.jretconser.2026.105038

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As artificial intelligence (AI) becomes increasingly involved in producing consumer-facing outputs, consumers may evaluate otherwise identical outcomes differently depending on whether they are attributed to AI or to human creators. However, the psychological process underlying this attribution bias and the conditions under which it becomes stronger remain underexplored. Drawing on attribution theory and the creativity-evaluation perspective, this research examines how creator attribution influences perceived creative legitimacy through perceived creative effort and identifies contextual and identity-based boundary conditions.

The algorithmic bias in creative legitimacy attribution

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