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Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment

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Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment
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The paper discusses the divergence between human and AI aesthetic evaluations. It highlights that while AI can approximate human tendencies in beauty ratings, significant differences remain in emotional responses and bodily sensations. These findings underscore challenges in aligning AI systems with human-like aesthetic processing.

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arXiv cs.AI
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Computer Science > Human-Computer Interaction arXiv:2605.18759 (cs) [Submitted on 5 Apr 2026] Title:Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment Authors:Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi View a PDF of the paper titled Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment, by Yoshia Abe and 2 other authors View PDF HTML (experimental) Abstract:Artificial intelligence (AI), exemplified by large language models (LLMs), is rapidly approaching and in some cases surpassing human performance across a wide range of cognitive tasks. However, human nature is not limited to intelligence alone; it also encompasses sensibility, including the capacity to perceive and experience beauty in visual scenes.

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