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Published on: June 3, 2013
Where does the bias begin? Cognitive processing differences in the aesthetic evaluation of AI-generated art
Yongquan Wang1, Yiwei Cao2, Jingnan Cai1
1School of Theater, Film and Television, Communication University of China, Beijing, China.
Frontiers in Psychology
|June 19, 2026
Summary
The negative bias against AI-generated art emerges during controlled processing, not automatic processing. Providing interpretive cues significantly reduces this bias, suggesting a need for meaning construction in aesthetic appreciation.
Area of Science:
- Cognitive Psychology
- Art Perception
- Artificial Intelligence
Background:
- The Pleasure-Interest Model of Aesthetic Liking (PIA model) provides a framework for understanding aesthetic judgments.
- A potential negative bias towards AI-generated art has been observed, but its underlying cognitive mechanisms remain unclear.
Purpose of the Study:
- To investigate whether the negative bias against AI-generated art originates from automatic or controlled cognitive processing.
- To determine if interpretive semantic cues can mitigate this bias.
Main Methods:
- Three experiments were conducted using exclusively AI-generated artworks.
- Creator labels were manipulated while artwork remained constant.
- Processing conditions were varied to favor either automatic or controlled cognitive engagement.
- Interpretive semantic cues (textual descriptions) were provided in some conditions.
Main Results:
- The negative bias against AI-generated art was significantly smaller under conditions promoting automatic processing compared to controlled processing.
- This bias predominantly emerged during controlled processing.
- Providing interpretive semantic cues substantially mitigated the negative bias.
Conclusions:
- The negative bias towards AI-generated art is primarily a phenomenon of controlled, rather than automatic, cognitive processing.
- Facilitating meaning construction through semantic cues can reduce prejudice against AI-generated art.
- Findings contribute to understanding aesthetic appreciation in the context of AI.
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