Esta é uma versão desatualizada publicada em 2026-05-20. Leia a versão mais recente.

HUMAN-MACHINE CREATIVITY

Collaboration and Autonomy in Ai Art

Autores

DOI:

https://doi.org/10.33871/sensorium.2026.13.12107

Palavras-chave:

AI art, human–AI collaboration, generative adversarial networks, art creation, creativity

Resumo

This article explores the role of artificial intelligence (AI) in art creation by analysing the work of two notable artists, Sougwen Chung and Mario Klingemann. By adopting a case study approach, we analyse Chung’s Recursions series and Klingemann’s Memories of Passersby I as two different models of human–AI interaction in art: collaborative co-creation and machine autonomy. The findings show that Chung’s work is based on a continuous interaction between human gestures, biofeedback systems, and robotic responses. This process demonstrates a fluid collaboration between human and machine. Meanwhile, Klingemann’s work emphasizes algorithmic autonomy through generative adversarial networks (GANs). The artist guides the system’s outputs through curatorial and aesthetic decisions. Comparing these two models contributes to the literature on collaboration, creativity, and agency in AI art.

Downloads

Não há dados estatísticos.

Biografia do Autor

Bogdan N. Mucea, University of Alba Iulia, Alba Iulia, Romania

Bogdan-Nicolae Mucea is an academic and sociologist currently serving as a Lecturer at the Department of Social Sciences and Director of the Social Development and Human Resources Research Center at "1 Decembrie 1918" University of Alba Iulia, where he also is Director of the Image and Marketing Center. Having earned his PhD in Sociology with Magna cum Laude honors from the University of Bucharest, his educational background includes master’s degrees in organizational leadership and educational psychology, research on digital education, social media addiction among adolescents, and organizational commitment. He aims to bridge the gap between complex sociological theory and practical institutional communication.

Referências

AI-DA ROBOT STUDIOS. About. Available at: https://www.ai-darobot.com/about.Access in Apr. 13, 2026.

ANDREWS, Hannah; HAWCROFT, Aurora (Eds.). Why technology needs artists: 40 international perspectives. London: British Council, 2025. Available at: https://doi.org/10.57884/Z34F-0732. Access in Apr. 13, 202

BARTHES, Roland. The death of the author. In: BARTHES, Roland. Image–Music–Text. Translated by Stephen Heath. London: Fontana Press, 1977. p. 142–148.

BETANCOR, Julia; FINN, Dan; GARCÍA, Alvar; GALEANO, Isabella; MATA DELGADO, Ana L. Artificial intelligence in contemporary art: Is it possible to preserve the algorithm? Electronic Media Review, v. 6, 2020. Available at: https://resources.culturalheritage.org/emg-review/artificial-intelligence-in-contemporary-art-is-it-possible-to-preserve-the-algorithm/. Accessed on: Apr. 18, 2026.

BOMBA, Federico; DE ANGELI, Antonella. Agency and authorship in AI art: transformational practices for epistemic troubles. International Journal of Human-Computer Studies, 2025.

BROWNE, Kieran. Who (or what) is an AI artist? Leonardo, v. 55, n. 2, p. 130–134, 2022.

CRITICAL PLAYGROUND. Sougwen Chung Recursions at Art Basel Hong Kong 2026. Available at: https://criticalplayground.org/sougwen-chung-recursions-at-art-basel-hong-kong-2026/. Accessed on: Apr. 18, 2026.

DOHERTY, Shauna J. Art in the age of artificial intelligence. Esse, n. 97, p. 30–41, 2019. Available at: https://id.erudit.org/iderudit/91455ac. Accessed on: Apr. 18, 2026.

ELLIOTT, Luba. AI through the technologist’s eye. Flash Art, 5 December 2017. Available at: https://flash---art.com/article/mario-klingemann/. Accessed on: Apr. 18, 2026.

FELLOWSHIP. Art Basel HK 2026: Sougwen Chung – Recursions. Available at: https://fellowship.xyz/exhibition/artbasel-hk-2026-sougwen-chung-recursions. Accessed on: Apr. 18, 2026.

GOMEZ Laura. How is AI redefining the boundaries of art. ArtTactic, 23 October 2024. Available at: https://arttactic.com/editorials/how-is-ai-redefining-the-boundaries-of-art. Accessed on: Apr. 18, 2026.

GÓRSKA, Magdalena. Artificial intelligence, glitch, and the unmaking of identity in the art of Mario Klingemann. Art Inquiry, v. 27, p. 397–408, 2025.

HERMERÉN, Göran. Art and artificial intelligence. Cambridge: Cambridge University Press, 2024. Available at: https://doi.org/10.1017/9781009431798. Accessed on: Apr. 18, 2026.

KOCH, Florentin. Recursivism: an artistic paradigm for self-transforming art in the age of AI. arXiv preprint, 2026.

MCCORMACK, Jon; GIFFORD, Toby; HUTCHINGS, Patrick. Autonomy, authenticity, authorship and intention in computer generated art. In: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, 2019. Cham: Springer, 2019. p. 35–50.

NORDSTRÖM, Paulina; LUNDMAN, Riina; HAUTALA, Johanna. Evolving coagency between artists and AI in the spatial co-creative process. Annals of the American Association of Geographers, v. 113, n. 9, p. 2203–2218, 2023. Available at: https://doi.org/10.1080/24694452.2023.2210647. Accessed on: Apr. 18, 2026.

OZTURK, Omer T.; GUMUS, Abdullah. A comparative analysis of artists in AI-assisted artistic practices: the design subject and the sculptural form. In: ICRES 2025 – INTERNATIONAL CONFERENCE ON RESEARCH IN EDUCATION AND SCIENCE, 2025. p. 1286-1295.

POSCIC, Antonio. The pixels themselves: an interview with Mario Klingemann. The Quietus, 2018. Available at: https://thequietus.com/culture/art/mario-klingemann-ai-art-interview/. Accessed on: Apr. 18, 2026.

ROZENTAL, Sonja; VAN DARTEL, Michel; DE ROOIJ, Alwin. How artists use AI as a responsive material for art creation. In: INTERNATIONAL SYMPOSIUM ON ELECTRONIC/EMERGING ART, 2025. p. 471–478. Available at: https://doi.org/10.31234/osf.io/gjdnw. Accessed on: Apr. 18, 2026.

SKLAR, Samuel J.; JIANG, Mengyao. Art with agency: artificial intelligence as an interactive medium. Humanities and Social Sciences Communications, v. 12, n.1, 2025.

SOTHEBY’S. Mario Klingemann | Memories of Passersby I. Contemporary Art Day Auction, 2019. Available at: https://www.sothebys.com/en/auctions/ecatalogue/2019/contemporary-art-day-auction-l19021/lot.109.html. Accessed on: Apr. 18, 2026.

YEŞİLDAĞ, İsa. Artificial intelligence: Support or risk of dependence? In: THE IMPACT OF ABUSIVE USE AND ADDICTION TO SOCIAL NETWORKS ON YOUNG PEOPLE. Cluj-Napoca: Presa Universitară Clujeană, 2026. p. 107–117.

YEŞİLDAĞ, İsa. Inside art consumption: desire, prestige & investment. Łódź: Wydawnictwo SIZ, 2025.

Downloads

Publicado

2026-05-20

Versões

Edição

v. 13 n. 03 (2026): Art&Sensorium

Seção

Artigos

Licença

Copyright (c) 2026 Art&Sensorium

Licença Creative Commons

Esta obra está licenciado com uma Licença Creative Commons Attribution 3.0 Unported License.

Autores que publicam nesta revista concordam com os seguintes termos:

    1. Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.

    1. Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capí­tulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.

  1. Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).