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...

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• Intelligence
• Language
• Phenotype
• Artificial Intelligence
• Communication

Identifiers and source

Literature Corpus work

713a0ae5-eb05-5ed2-ad6a-dd4d8a89420e

DOI

10.31234/osf.io/xzvmq_v1