Ethical challenges of AI in the creative industries from a cultural ownership perspective

Ajit Jaokar, Alberto Arenal and Claudio Feijóo

33rd European Regional ITS Conference, Edinburgh, 2025: Digital innovation and transformation in uncertain times from International Telecommunications Society (ITS)

Abstract: This study explores the ethical challenges posed by the integration of artificial intelligence (AI) in the creative industries, focusing on issues of cultural ownership, authenticity, and the balance between creativity and automation. As AI technologies become more prevalent in content generation across fields such as visual arts, music, literature, and film, questions emerge regarding the exploitation of cultural heritage, the preservation of artistic integrity, and the potential for homogenization in creative outputs. Drawing on a mixed-method approach, including a review of existing literature, case studies, and a semi-structured survey of 16 creative professionals, this research examines the perspectives of content creators on these ethical dilemmas. The findings reveal significant concerns about cultural misrepresentation, over-reliance on AI, and the erosion of traditional artistic skills. Participants emphasize the need for human oversight, transparency, and the involvement of cultural experts to mitigate these risks. The study highlights the importance of developing ethical frameworks that promote cultural sensitivity, respect for intellectual property, and the preservation of originality in creative processes. It also underscores the need for balanced approaches to AI integration that enhance rather than replace human creativity. The study concludes with recommendations for creating collaborative, transparent, and ethically grounded AI systems in the creative industries.

Keywords: artificial intelligence; content industries; AI ethics; cultural diversity; creative industries; cultural ownership and attribution; ethical frameworks; artistic integrity; cultural sensitivity; homogenization risk (search for similar items in EconPapers)
Date: 2025
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