Artificial Intelligence in Artistic Creation: Innovation, Homogeneity, and Challenges of Originality
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Abstract
Introduction: Artificial intelligence (AI) transforms artistic creation, allowing for rapid image generation while also posing challenges in terms of originality and visual diversity. This study analyzes the impact of AI on creativity, aesthetic homogenization, and the legal and ethical issues related to authorship. Methodology: A literature review was conducted on the use of AI in art, addressing technological, aesthetic, and legal aspects. Emerging regulatory frameworks were examined, along with studies on AI’s reliance on pre-existing data. Results: While AI has democratized access to visual creation, its dependence on training data limits innovation and encourages stylistic repetition. A risk of aesthetic homogenization was identified, as well as legal gaps regarding the authorship of AI-generated works, since current regulations do not account for AI’s role in artistic creation. Discussion: AI functions more as a tool for reinterpretation or data curation rather than as an autonomous creator. Its widespread use could lead to a standardized aesthetic, affecting artistic diversity. To mitigate these effects, strategies such as prompt engineering and the combination of digital and manual techniques are suggested, along with a regulatory framework to protect originality. Conclusions: AI expands creative possibilities but presents challenges in terms of originality and authorship. A critical approach and collaboration between artists and technology are key to preserving aesthetic diversity and preventing the standardization of artistic production.
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