Strategic Studies of Art

Strategic Studies of Art

Critical Analysis of Artificial Intelligence as a “Collaborator in Artistic Creation”: Rethinking Human Authenticity and Creativity in Art Studies

Document Type : Original Article

Authors
1 Marzieh Sadat Shahidi, Lecturer, Department of Painting, Faculty of Art, Tehran West Branch, Islamic Azad University, Tehran, Iran.
2 &, Associate Professor, Department of Philosophy of Art, Hamedan Branch, Islamic Azad University, Hamedan, Iran"
10.22083/ssa.2026.551975.1097
Abstract
Introduction: The rapid expansion of artificial intelligence (AI) across design disciplines has significantly reshaped creative processes in interactive graphic design. As AI becomes increasingly integrated into visual production workflows, a central question emerges: how can designers engage AI as a collaborative partner while preserving-and potentially redefining-human creativity and artistic authenticity? This study addresses the conceptual and practical challenges inherent in human-machine interaction, examining how algorithmic contributions influence creative decision-making, cultural interpretation, and the aesthetic construction of interactive visual experiences.
Methods: This research adopts an analytical and critical methodological framework. Data were collected through an extensive review of scholarly literature, an examination of practical case studies in AI-assisted interactive and three-dimensional design, and semi-structured interviews with designers and experts experienced in human–AI collaboration. Thematic analysis was employed to identify recurring patterns related to creative opportunities, technical and ethical challenges, and the conditions that enable productive synergy between human designers and AI systems.
Results: The findings indicate that AI can function effectively as a creative collaborator in interactive graphic design when its application is grounded in human-centered principles. AI enhances ideation by rapidly generating diverse visual alternatives, facilitates experimentation with complex forms, and supports innovative aesthetic exploration. However, the results underscore that human judgment, cultural awareness, and artistic sensitivity remain indispensable. Although AI expands the spectrum of creative possibilities, it cannot replace the uniquely human capacities for interpretation, contextual reasoning, and meaning-making. Additional challenges identified include algorithmic bias, limited contextual awareness, and the risk of aesthetic homogenization.
Discussion: The study concludes that the future of interactive graphic design depends on establishing a synergistic model of human–AI collaboration. When AI is positioned as an augmentative instrument rather than a substitute for human designers, it strengthens creative agency and fosters the development of culturally informed and aesthetically nuanced design outcomes. This collaborative paradigm shifts the emphasis toward an iterative, process-oriented conception of creativity, in which meaning emerges through the dynamic interplay between human intentionality and computational capability. Ultimately, the research demonstrates that human creativity is not diminished by AI; rather, it can be expanded and rearticulated within digital environments through deliberate and ethically grounded integration.
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Amabile, T. M. (1996). Creativity in Context. Westview Press. 
Boden, M. A. (2004). The creative mind: Myths and mechanisms (2nd ed.). Routledge. https://doi.org/10.4324/9780203508527
Boden, M. A. (2016). The Creative Mind: Myths and Mechanisms (3rd ed.). Routledge. 
Csikszentmihalyi, M. (1996). Creativity: Flow and the psychology of discovery and invention (pp. 25-44). HarperCollins.
Derrida, J. (1997). Of Grammatology (G. C. Spivak, Trans.). The Johns Hopkins University Press. (Original work published 1967)
Du Sautoy, M. (2019). The Creativity Code: How AI is Learning to Write, Paint and Think. Harvard University Press. (pp. 131-158)
Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). CAN: Creative Adversarial Networks. Proceedings of ICCC, 96-103.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. pp. 98-140.
Garcia, M. B. (2024). The paradox of artificial creativity: Challenges and opportunities of generative AI artistry. Creativity Research Journal. https://www.manuelgarcia.info/media/original/artificial-creativity.pdf?utm_source=chatgpt.com
Hertzmann, A. (2018). Can computers create art? Arts, 7(2), 1-12. Preprint. https://arxiv.org/abs/1801.04486
Jurafsky, D., & Martin, J. H. (2020). Speech and Language Processing (3rd ed.). Pearson. pp. 10-12.
Kockelmans, J. J. (1985). Martin Heidegger on art and truth: A philosophical interpretation (pp. 67-92). University of Massachusetts Press.
Li, H., Xue, T., Zhang, A., Luo, X., Kong, L., & Huang, G. (2024). The application and impact of artificial intelligence technology in graphic design: A Critical Interpretive Synthesis. Heliyon, 10(21), e40037. https://www.sciencedirect.com/science/article/pii/S2405844024160689?utm_source=chatgpt.com
Li, J., Yang, J., Hertzmann, A., Zhang, J., & Xu, T. (2019). LayoutGAN: Generating graphic layouts with wireframe discriminators. Preprint. https://arxiv.org/abs/1901.06767
McCormack, J., Gifford, T., & Hutchings, P. (2019). Autonomy, authenticity, authorship and intention in computer generated art. In A. Liapis, J. J. Romero, & A. Ekárt (Eds.), Proceedings of EvoMUSART 2019 (Lecture Notes in Computer Science, Vol. 11453, pp. 35-50). Springer. https://doi.org/10.1007/978-3-030-16667-0_3
McCormack, J., Gifford, T., & Hutchings, P. (2020). Creativity and Artificial Intelligence. Springer. pp. 5-7.
Manovich, L. (2013). Software Takes Command. Bloomsbury Academic. Phenikaa University Library +1) chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://dlib.phenikaa-uni.edu.vn/bitstream/PNK/6847/1/Software%20Takes%20Command%2C2013.pdf?utm_source=chatgpt.com(
McCormack, J., Gifford, T., & others. (2019). Computational creativity and the aesthetics of artificial intelligence. Leonardo, 52(1), 18-25.
McCormack, J., Gifford, T., & Hutchings, P. (2019). Autonomy, authenticity, and creativity in artificial intelligence systems. Philosophy & Technology, 32, 21-44.
McCormack, J., Gifford, T., Hutchings, P., & Lomas, D. (2019). Autonomy, authenticity, and creativity in computer generated art. In A. Dorin, J. McCormack, & A. McCabe (Eds.), Proceedings of the International Conference on Computational Creativity (pp. 38-45). Association for Computational Creativity.
Runco, M. A., & Jaeger, G. J. (2012). The Standard Definition of Creativity. Creativity Research Journal, 24(1), 92-96.
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
Wang, X., Kim, J., Peng, L., & Wang, Y. (2025). Exploring creativity in human-AI cocreation: a comparative study across design experience. Frontiers in Computer Science. https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1672735 [In Persian]
Heydari, D., & Gandomkar, S. (2023). Applications of artificial intelligence in the graphics industry. First International Conference on Psychology, Social Sciences, Educational Sciences, and Philosophy with a Focus on Cultural Development. https://civilica.com/doc/2098159
Razavani, L., Kamrani, B., & Sharifzadeh, M. R. (2023). Revisiting the role of artificial intelligence in creating authentic artworks: A case study of Harold Cohen’s paintings. https://civilica.com/doc/1896104
Sarlak, P. (2023). A comparison of AI design art and graphic designers: How technology shapes a
rt. First National Conference on Graphics and Interdisciplinary Interactive Approaches. https://civilica.com/doc/1874255
Seif, F. (2022). Studying the process of automating graphic design using artificial intelligence: A futurology approach. Third National Conference on Performing and Digital Arts, Dezful. https://civilica.com/doc/1548237
Karimi, S. (2023). The negation of authenticity in contemporary art. Quarterly Journal of Advanced Art Studies, 3, 75-93. https://www.magiran.com/p2704942
Latifzadeh, M. (2024). Legal implications of generative AI creativity in the creation of literary and artistic works. Private Law, 21(1), 139-153. https://jolt.ut.ac.ir/article_97641.htmlMostafavi, Sh. M. (2024). Phenomenology of art and literature: Husserl, Heidegger, Sartre (pp. 115-142). Tehran: Ney Publishing.
Heidegger, M. (2014). The origin of the work of art (F. Majidi, Trans.). Tehran: Porsesh. (Original work published 1935)