Machine Thinking and Human Imagination: New Horizons for Creativity in the Digital Age
DOI:
https://doi.org/10.63931/ijchr.v7iSI1.156Keywords:
artificial intelligence, digitalization of culture, mass media, media cultureAbstract
The rise of generative artificial intelligence (AI) technologies challenges traditional notions of creativity and authorship in contemporary media art, prompting a philosophical reconsideration of these foundational concepts. This study aims to analyze and critique current interpretations of creativity and authorship in the context of machine-generated art, and to propose a theoretical framework for understanding emerging forms of distributed creativity. The research methodology involved the systematization of 30 scholarly publications (2020–2025), analysis of 15 media art projects involving AI (2020), and content analysis of eight detailed instances of human-machine creative collaboration. The findings led to the development of a typology of interaction models and a conceptual framework for hybrid authorship. Three dominant models of human-AI interaction were identified: instrumental (60%), collaborative (30%), and autonomous (10%). The study concludes that creative value lies not in algorithmic complexity but in conceptual depth and cultural relevance, reaffirming the centrality of human agency. The proposed model of hybrid authorship shifts away from binary human/machine distinctions, advocating for a procedural and network-based perspective. It outlines four types of hybrid authorship, instrumental, collaborative, distributed, and machine, each with distinct characteristics and implications for intellectual property and authorship rights. Practically, this research highlights the need for new legal frameworks, ethical guidelines for AI use in creative industries, and interdisciplinary training programs for digital-age artists. These measures are essential to navigate the evolving landscape of creativity and authorship in the age of AI.
References
[1] Ahmed, T. (2025). A comparative legal analysis of copyright and patent of outputs generated by artificial intelligence: In search of possible approaches for Bangladesh. Chinese Journal of Transnational Law, 2(1), 39-58. https://journals.sagepub.com/doi/10.1177/2753412X241312077
[2] Alazzam, F. A. F., Shakhatreh, H. J. M., Gharaibeh, Z. I. Y., Didiuk, I., & Sylkin, O. (2023). Developing an information model for e-commerce platforms: A study on modern socio-economic systems in the context of global digitalization and legal compliance. Ingenierie des Systemes d'Information, 28(4), 969–974. https://doi.org/10.18280/isi.280417
[3] Alcaide-Muñoz, C., & Rodríguez-Bolívar, M. P. (2021). AI and art: How machine learning is transforming human creativity. AI & Society, 36(4), 1267–1282.
[4] Artificial intelligence in art. (2020). SFII – Ukrainian Startup Fund. https://usf.com.ua/news/shtuchnyj-intelekt-v-mystetstvi/
[5] Azarenkov, V. I., & Kryklyva, K. O. (2024). Using artificial intelligence to optimize media content. In: Polygraphic, multimedia and web technologies: materials of the Youth School-Seminar of the IX International Scientific and Technical Conference. (pp. 129–130). Kharkiv: Madrid Printing House LLC. https://pmw.nure.ua/files/66.pdf
[6] Bailey, J. (2018). Can computers be authors? Copyright aspects of artificial intelligence. Communications of the ACM, 61(9), 42–49.
[7] Boden, M. A. (2018). Artificial intelligence: A very short introduction. (2nd ed.). Oxford University Press. https://doi.org/10.1093/actrade/9780199602919.001.0001
[8] Chaika, I., Vyshnevetskyi, R., & Pavlovskyi, V. (2024). Concepts of the information society: philosophical and anthropological analysis. Humanities Studies, 18(95), 79–87. https://doi.org/10.32782/hst-2024-18-95-08
[9] Chibalashvili, A. (2021). Artificial intelligence in artistic practices. Contemporary Art, 17, 41–50. https://doi.org/10.31500/2309-8813.17.2021.248425
[10] Doshi, A. R., & Hauser, O. P. (2024). Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances, 10(28), eadn5290. https://doi.org/10.1126/sciadv.adn5290
[11] Epstein, Z., Hertzmann, A., Akten, M., Farid, H., Holden, J., Littman, M., ... & Russakovsky, O. (2023). Art and the science of generative AI. Science, 380(6650), 1110-1111. https://doi.org/10.1126/science.adh4451
[12] Farina, M., Lavazza, A., Sartori, G., & Pedrycz, W. (2024). Machine learning in human creativity: Status and perspectives. AI & Society, 39(2), 567-585. https://doi.org/10.1007/s00146-023-01836-5
[13] Fernandes, A. (2025). The replacement of what? Artificial intelligence, creativity and (more-than-)humanness. Social Scientist, 53(1-2), 25-42. https://doi.org/10.1177/09732586241275955
[14] Galanter, P. (2016). Generative art and rules-based art. The Visual Computer, 32(11), 1367–1380.
[15] Grajo, J. (2023). The emergent works as innovations of the 21st century new literature curriculum: Their implications to pedagogy in an evolving literary landscape. International Journal of Culture and History Research, 5(1), 106–116. https://doi.org/10.63931/ijchr.v5i1.23
[16] Hernández-Pérez, E., García-Esparza, S., & Córdoba-Cabús, A. (2020). Computational creativity and music generation systems: An introduction to the state of the art. Frontiers in Artificial Intelligence, 3, 14. https://doi.org/10.3389/frai.2020.00014
[17] Hitsuwari, J., Ueda, Y., Yun, W., & Nomura, M. (2023). Does human–AI collaboration lead to more creative art? Aesthetic evaluation of human-made and AI-generated haiku poetry. Computers in Human Behavior, 139, 107502. https://doi.org/10.1016/j.chb.2022.107502
[18] Horlach, P. (2023a). All alarmed: how the use of AI affects art, cinema, music and literature. Suspilne. Culture. https://suspilne.media/culture/645624-vsi-strivozeni-akvikoristanna-si-vplivae-na-mistectvo-kino-muziku-ta-literaturu/
[19] Horlach, P. (2023b). Artificial intelligence created texts and illustrations for the new issue of the Ukrainian art magazine. Suspilne. Culture. https://suspilne.media/414000-stucnij-intelekt-stvoriv-teksti-ta-ilustracii-do-novogo-nomeru-ukrainskogo-zurnalu-pro-mistectvo/
[20] Jarvis, D. S., & Ramesh, M. (2024). Good models borrow, great models steal: Intellectual property rights and generative AI. Policy and Society, puae006. https://doi.org/10.1093/polsoc/puae006
[21] Kalpokiene, J., & Kalpokas, I. (2023). Creative encounters of a posthuman kind – anthropocentric law, artificial intelligence, and art. Technology in Society, 72, 102167.
[22] Kantosalo, A., Toivanen, J. M., & Toivonen, H. (2022). Redefining creativity in the era of AI? Perspectives of computer scientists and new media artists. The Journal of Creative Behavior, 57(2), 202-218. https://doi.org/10.1080/10400419.2022.2107850
[23] Karmanska, Y. (2023). The first albums and music videos created by artificial intelligence appear in Ukraine. How AI can change the Ukrainian creative industry. Forbes Ukraine. https://forbes.ua/life/yak-shtuchniy-intelekt-zminyue-ukrainsku-kreativnu-industriyu-26122023-17341
[24] Khatniuk, N., Shestakovska, T., Rovnyi, V., Pobiianska, N., & Surzhyk, Y. (2023). Legal principles and features of artificial intelligence use in the provision of legal services. Journal of Law and Sustainable Development, 11(5), e1173. https://doi.org/10.55908/sdgs.v11i5.1173
[25] Konduforov, O. E., & Shtanko, V. I. (2024). Authenticity of communication in the era of generative AI. Grail of Science, 47, 660–663. https://doi.org/10.36074/grail-of-science.20.12.2024.100
[26] Liu, Y., Zhang, M., & Chen, L. (2024). Pre-AI and post-AI design: Balancing human creativity and AI tools in the industrial design process. In Proceedings of the 2024 International Conference on Artificial Intelligence and Future Education (pp. 45-52). ACM. https://doi.org/10.1145/3708394.3708413
[27] Matiash, S., Shevel, I., Bilan, V., Hromadskyi, R., & Yalokha, T. (2025). Innovative Approaches to the Management of Cultural Institutions in the Digital Age. International Journal on Culture, History, and Religion, 7(1), 73–96. https://doi.org/10.63931/ijchr.v7i1.94
[28] Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(1), 26. https://doi.org/10.3390/arts8010026
[29] Moruzzi, C. (2025). Artificial intelligence and creativity. Philosophy Compass, 20(1), e13030. https://doi.org/10.1111/phc3.70030
[30] Niziaieva, V., Liganenko, M., Muntyan, I., Ohiienko, M., Goncharenko, M., & Nazarenko, O. (2022). Balancing interests in the field of tourism based on digital marketing tools. Journal of Information Technology Management, 14, 59–77. https://doi.org/10.22059/jitm.2022.88875
[31] OpenAI (2021). CLIP: Connecting text and images. https://openai.com/blog/clip/
[32] OpenAI (n.d.). DALL-E. https://labs.openai.com/
[33] Payne, C. (2019). MuseNet. OpenAI. https://openai.com/research/musenet
[34] Pearlman, E. (2020). AI Comes of Age. PAJ: A Journal of Performance and Art, 42(3), 55–62. https://doi.org/10.1162/pajj_a_00539
[35] Schmidt, P., Williams, K., & Johnson, R. (2024). Generative artificial intelligence in creative contexts: A systematic review and future research agenda. Management Review Quarterly, 74(2), 245-278. https://doi.org/10.1007/s11301-025-00494-9
[36] Séjourné, L., Martinez, J., & Dupont, C. (2024). Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights. Technological Forecasting and Social Change, 201, 123456.
[37] Skalatska, O. V. (2024). Interdisciplinary potential of media philosophy in the space of artificial intelligence (AI): philosophical aspects. Actual Problems of Philosophy and Sociology, 47, 151–156. http://apfs.nuoua.od.ua/archive/47_2024/47_2024.pdf#page=151
[38] Sovhyra, T. (2021). Artificial intelligence and issue of authorship and uniqueness for works of art (Technological research of the Next Rembrandt). Culture and Arts in the Modern World, 22, 156–163. https://doi.org/10.31866/2410-1915.22.2021.235903
[39] Storozhenko, V. (2023). Can artificial intelligence replace people in music? Speka Media. https://speka.media/chi-moze-shtucnii-intelekt-zaminiti-lyudei-u-muzici-v04mg7
[40] The Ukrainian art project “Save Ukr(AI)ne” was presented in Kuwait. (2022, September 15). Embassy of Ukraine in the State of Kuwait. https://kuwait.mfa.gov.ua/news/ukrainian-art-project-save-ukraine-represented-kuwait
[41] Thompson, A., Davis, M., & Clark, S. (2023). Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance. Patterns, 4(12), 100857. https://doi.org/10.1016/j.patter.2023.100857
[42] Trach, Y. (2021). Artificial intelligence as a tool for creating and analyzing works of art. Culture and Arts in the Modern World, 22, 164–173. https://doi.org/10.31866/2410-1915.22.2021.235907
[43] Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
[44] Uboldi, G., & Briones, C. (2021). Artificial creativity: A critical perspective on AI in art and design. Design Issues, 37(2), 67–79.
[45] van Hees, J., Grootswagers, T., Quek, G. L., & Varlet, M. (2025). Human perception of art in the age of artificial intelligence. Frontiers in Psychology, 15, 1497469. https://doi.org/10.3389/fpsyg.2024.1497469
[46] Vincent, J. (2019). This AI-generated sculpture is made from the shredded remains of the computer that designed it. The Verge. https://www.theverge.com/tldr/2019/4/12/18306090/ai-generated-sculpture-shredded-remains-ben-snell-dio
[47] Vincent, J. (2023). AI art tools Stable Diffusion and Midjourney targeted with copyright lawsuit. The Verge. https://www.theverge.com/2023/1/16/23557098/generative-ai-art-copyright-legal-lawsuit-stable-diffusion-midjourney-deviantart
[48] Volynets, V. (2023). The impact of artificial intelligence on contemporary art: opportunities and challenges. Digital Platform: Information Technologies in Sociocultural Sphere, 6(1), 21–31. https://doi.org/10.31866/2617-796X.6.1.2023.283933
[49] Wadinambiarachchi, S., Kelly, R. M., Pareek, S., Zhou, Q., & Velloso, E. (2024). The effects of generative AI on design fixation and divergent thinking. In Proceedings of the 2024 Conference on Human Factors in Computing Systems (pp. 1-14). ACM. https://dl.acm.org/doi/10.1145/3613904.3642919
[50] Zain, A. K., Kazar, A. N. Y., Okba, A., & Ezzerouali, S. (2025). The legislative gap for copyright in the era of generative AI: Where do we stand in achieving sustainable development goals? Journal of Lifestyle and SDGs Review, 5(4), e06057. https://sdgsreview.org/LifestyleJournal/article/view/6057
[51] Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), pgae052. https://academic.oup.com/pnasnexus/article/3/3/pgae052/7618478
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Copyright (c) 2025 Adriana Skoryk, Inna Antipina, Oksana Havrosh, Yevgeniia Shunevych, Viktor Shvets
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