Artificial intelligence and contemporary artistic creation redefining authorship, symbolic value and aesthetic plurality

Authors

DOI:

https://doi.org/10.18537/ripa.21.03

Keywords:

artificial intelligence, artistic creation, digital authorship, aesthetic diversity, collaborative learning

Abstract

This research examines how artificial intelligence (AI) influences current processes of artistic creation, aiming to understand how this technology redefines authorship, symbolic meaning, and aesthetic plurality. To achieve this, a qualitative approach was adopted, combining semi-structured interviews, non-participant observation, and analysis of artworks produced with AI. Furthermore, data triangulation was conducted to ensure interpretive coherence and analytical validity. The findings reveal that AI has broadened access to artistic production by enabling creation without the need for formal artistic training. However, this openness also generates dilemmas concerning authenticity, innovation, and visual uniformity, largely shaped by the dominance of Western styles embedded in algorithmic datasets. Finally, the study found that digital collaborative environments foster shared learning and strengthen aesthetic literacy. AI thus emerges as a dual agent that expands creative possibilities while requiring critical mediation and cultural diversity to preserve the symbolic value of contemporary art.

Downloads

Download data is not yet available.

References

Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., Hashimoto, T., Jurafsky, D., Zou, J., y Çalışkan, A. (2023). Easily accessible text-to-image generation amplifies demographic stereotypes at large scale. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 1493–1504). Association for Computing Machinery. https://doi.org/10.1145/3593013.3594095

Brewer, P. R., Cuddy, L., Dawson, W., et al. (2025). Artists or art thieves? Media use, media messages, and public opinion about artificial intelligence image generators. AI y Society, 40, 77–87. https://doi.org/10.1007/s00146-023-01854-3

Colmán López, M. C. (2025). La inteligencia artificial en la creación artística: Análisis de su influencia en la producción cultural. I+D Internacional Revista Científica y Académica, 4(1), 43–64.

Dougherty, A. (2023a). Arts-based research as a qualitative methodology. Medium.

Dougherty, S. M. (2023b). Putting evidence on CTE to work. SAGE Open, 13(2), 21582440231161520. https://doi.org/10.1177/21582440231161520

Franganillo, J. (2023). La inteligencia artificial generativa y su impacto en la creación de contenidos mediáticos. Methaodos. Revista de Ciencias Sociales. https://revista.methaodos.org/index.php/methaodos/article/view/710

Gil-Ruiz, P. y Domínguez-Lloria, S. (2025). La inteligencia artificial generativa de imágenes como colaboradora para la creatividad: un estudio de caso grupal. Arte, Individuo y Sociedad, 37, e99030.

Hernández Sampieri, R., Fernández Collado, C., y Baptista Lucio, P. (2014). Metodología de la investigación. McGraw-Hill.

Hernández Sampieri, R., Mendoza, C., y Baptista, P. (2022). Metodología de la investigación. McGraw-Hill.

Hernández, A. C. (2024). La inteligencia artificial generativa como un recurso creativo: efectos culturales y desafíos éticos. Revista de Estudios Digitales, 12(2), 45–63. https://dialnet.unirioja.es/

Hutson, J., y Lang, M. (2023). Content creation or interpolation: AI generative digital art in the classroom. Media Education Research Journal, 4(1), 2158. https://doi.org/10.54517/m.v4i1.2158

Marqués Ibáñez, A., y Delgado Hernández, P. (2025). Modelos generativos en IA como investigación educativa: el impacto de la inteligencia artificial en la enseñanza artística. REDU. Revista de Docencia Universitaria, 23(1), 7–25. https://doi.org/10.4995/redu.2025.22022

Ortiz Arroba, F. (2024). La inteligencia artificial y la transformación de las expresiones artísticas. URU: Revista de Ciencias Sociales, 10, 65–84. https://doi.org/10.32719/26312514.2024.10.4

Puertollano Galán, V., y Castro-Díaz, M. (2025). La inteligencia artificial en la creación artística: innovación, homogeneidad y desafíos de la originalidad. Vivat Academia, 158, 1–17. https://doi.org/10.15178/va.2025.158.e1608

Rossel Garrón, A. (2025). Inteligencia artificial en la educación artística: propuestas para la alfabetización digital pública. Revista SciELO Bolivia, 1(1), 95–112. https://www.scielo.org.bo/scielo.php?pid=S2306-86712025000100095&script=sci_arttext

Sandberg, B. (2024). Outcomes of art-based leadership development: A qualitative metasummary. Behavioural Sciences, 14(8), 714. https://doi.org/10.3390/bs14080714

Vacchelli, L., et al. (2025). AI-Image Generation in Research Interviews: Opportunities and Challenges. Qualitative Health Research. https://doi.org/10.1177/16094069251333335

Vetedor-Romero, J. A. (2025). Exploraciones creativas en la era de la inteligencia artificial. Revista RAHA, 8(1), 101–123. https://reunido.uniovi.es/index.php/RAHA/article/view/21710

Wasielewski, A. (2024). The reification of style in AI image generation. Hertziana Studies in Art History, 3, 13–20. https://doi.org/10.48431/hsah.0302

Zhou, E., y Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), pgae052. https://doi.org/10.1093/pnasnexus/pgae052

Published

2026-07-01