{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T02:28:02Z","timestamp":1784255282842,"version":"3.55.0"},"reference-count":65,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T00:00:00Z","timestamp":1774656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The aim of this theoretical study was to examine the ethical dilemmas related to the use of generative artificial intelligence (AI) in visual art, with a focus on authorship, ownership, and the shifting boundaries of creativity. The research was conducted in 2024\u20135 using methods of conceptual analysis, legal comparison, and interdisciplinary synthesis. A total of forty-three peer-reviewed sources were analysed across the fields of art theory, cultural philosophy, intellectual property law, and cognitive aesthetics. The results show that authorship in AI-generated art is increasingly viewed as distributed. While primary responsibility is attributed to human users\u2014through prompt design, selection, and interpretation\u2014there is growing recognition of algorithmic systems as co-contributors. Legal frameworks in six jurisdictions (Canada, the UK, the USA, Germany, Japan, and China) remain fragmented: most require human input for copyright protection, yet differ in how they define \u2018authorship\u2019. Analysis of empirical findings from existing studies confirms that audience perception is shaped by authorship attribution: artworks known to be created by humans received significantly higher aesthetic ratings (mean\u2009=\u20095.72, AI\u2009=\u20094.99, P\u2009&amp;lt;\u2009.001). At the same time, the perceived originality of AI outputs led to divided judgements about their legal and cultural legitimacy. In conclusion, the study highlights that AI enhances formal production but lacks intentionality, emotion, and cultural awareness. These findings are relevant for updating legal definitions, designing transparent AI tools, and creating educational programs on human\u2013AI collaboration in creative fields.<\/jats:p>","DOI":"10.1093\/llc\/fqag035","type":"journal-article","created":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T00:35:51Z","timestamp":1774744551000},"page":"647-661","source":"Crossref","is-referenced-by-count":1,"title":["Ethical dilemmas in artificial intelligence-generated art: authorship, ownership, and the blurring of creative boundaries"],"prefix":"10.1093","volume":"41","author":[{"given":"Zheng","family":"Chen","sequence":"first","affiliation":[{"name":"School of Art and Design, Guilin University of Electronic Technology , Guilin, 541004, People\u2019s Republic of","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"He","sequence":"additional","affiliation":[{"name":"School of Art and Design, Guilin University of Electronic Technology , Guilin, 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