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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52632
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The integration of artificial intelligence into creative processes has prompted scholarly inquiry into the perceptual equivalence of AI-generated and human-created artworks. This investigation examines human aesthetic judgments of art produced by Generative Adversarial Networks (GANs) relative to human-authored works. Employing a controlled experimental paradigm with 147 participants, aesthetic evaluations were conducted across dimensions including beauty, emotional resonance, originality, technical proficiency, and overall preference in a blinded assessment. Findings reveal a statistically significant bias favoring human-created art, with elevated ratings in emotional depth and perceived creativity, despite limited ability to discriminate origins. These outcomes elucidate the psychological mechanisms underpinning art appreciation in the context of AI, with implications for computational creativity and ethical considerations in digital art production.
KEYWORDS
Publication Date
9/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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