Personalizing AI Art Boosts Credit, Not Beauty

Abstract excerpt

<p>While artificial intelligence increasingly democratises art creation, people tend to devalue AI-generated content—a phenomenon known as algorithm aversion. Recent work suggests that personalized AI models, trained on a user's past work, can increase credit attribution in text generation. We investigated whether this effect extends to visual art and examined the relationship between credit attribution and aesthe...

Topics

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• Artificial Intelligence
• Communication
• Intelligence
• Language
• Phenotype

Identifiers and source

Literature Corpus work

1977586e-01e9-564b-b55a-cec8600a2a6f

DOI

10.31234/osf.io/xzvmq_v3