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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">LNE</journal-id><journal-title-group><journal-title>Lecture Notes in Education, Arts, Management and Social Science</journal-title></journal-title-group><issn>TBA</issn><eissn>2705-053X</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/LNE.v3i10.1128</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Reconsidering the Aesthetic Attributes and Value of AI-Generated Art from the Perspective of “Qu”</title><url>https://artdesignp.com/journal/LNE/3/10/10.18063/LNE.v3i10.1128</url><author>MengWanqi</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>10</issue><history><date date-type="pub"><published-time>2025-11-26</published-time></date></history><abstract>Drawing on the concept of &amp;ldquo;Qu&amp;rdquo; from traditional Chinese aesthetics, this paper examines the aesthetic generative mechanisms and value attribution of AI-generated art. Grounded in Qu&amp;rsquo;s&amp;nbsp;key characteristics&amp;mdash;non-instrumentality, balanced mediation, the principle of &amp;ldquo;deviating from convention while remaining in accord with aesthetic order,&amp;rdquo; and embodied experience&amp;mdash;this study proposes an alternative framework for understanding AI art. By doing so, it seeks to articulate a middle path that reconciles human subjectivity with technological generativity, thereby fostering a model of human&amp;ndash;technology co-existence within a posthuman context.</abstract><keywords>AI-generated art, “Qu”, Aesthetic attributes, Artistic value, Innovation, Human–machine symbiosis</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Messingschlager VT, Appel M, 2025, Mind Ascribed to AI and the Appreciation of AI-generated Art. New Media &amp;amp; Society, 27(3): 1673&amp;ndash;1692.
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