Araştırma Makalesi
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DEĞİŞEN İLETİŞİM TEKNOLOJİLERİ BAĞLAMINDA SANAT ÜRETİMİ: YAPAY ZEKÂ İLE YARATICILIĞI SINIRLANDIRMAK MI, YOKSA ÖZGÜRLEŞTİRMEK Mİ?

Yıl 2026, Cilt: 16 Sayı: 1, 59 - 68, 01.01.2026

Öz

Bu çalışma, yapay zekânın sanatta yaratıcılığı kısıtlayıp kısıtlamadığını ya da özgürleştirip özgürleştirmediğini araştırmakta; teknolojik aracılığın sanatsal üretimi nasıl şekillendirdiğine odaklanmaktadır. Nitel bir araştırma tasarımı benimsenmiştir. Tematik analiz, 2018–2025 yılları arasında yayımlanmış 35 metinden oluşan bir örneklem üzerinde, Johnson-Laird’in (1988) yaratıcı düşünceye dair kuramsal temeliyle birlikte gerçekleştirilmiştir. Örneklem; felsefe, estetik, iletişim, sanat tarihi, eğitim ve bilgisayar bilimi gibi alanlardan akademik makaleler, sektör raporları ve kamuya açık yorumları içermektedir. Analiz dört ana tema ortaya koymaktadır: niyet ve anlam, kısıtlama ile özgürleşme diyalektiği, insan ve YZ tarafından üretilen yaratıcılığın algıları ve teknolojinin yaratıcı süreçlerin aracı ve güçlendiricisi olarak rolü. Bulgular, niyetin insan ve YZ yaratıcılığı arasındaki temel ayrım olarak kaldığını göstermektedir. YZ, yerleşik stilleri taklit eden çıktılar üretebilse de örtük bilgi ve bedensel anlam eksikliği, onun özerk bir yaratıcı olarak tanınmasını sınırlandırmaktadır. Kısıtlama ve özgürleşme diyalektiği, YZ’nin doğası gereği yaratıcılığı ne özgürleştirdiğini ne de kısıtladığını göstermektedir; bunun yerine değeri, sanatçıların algoritmik sınırlamaları nasıl benimsediğine bağlıdır. Yaratıcılığa ilişkin algılar da aynı ölçüde önemlidir; kültürel önyargılar insan yazarlığını ayrıcalıklı kılarken, hibrit yazarlık modelleri daha geniş kabul potansiyeli göstermektedir. YZ, yaratıcı olanakları güçlendiren bir teknoloji aracı olarak işlev görür, ancak aynı zamanda eser sahipliği ve emekle ilgili sömürücü altyapıları ve etik zorlukları da gündeme getirir. Bu çalışma, YZ’yi yaratıcılığa dair uzun süredir devam eden tartışmalar bağlamına yerleştirerek, onun rolünün insan öznesinin yerini almaktan ziyade yaratıcı pratiğin koşullarını yeniden şekillendirmekte yattığını vurgulamaktadır. Uygulamalı sonuçlar, sanatçılar, eğitimciler ve kurumların YZ’yi çalışmalarına eleştirel biçimde entegre etmeleri gereğini öne çıkarmaktadır.

Kaynakça

  • Avlonitou, E., & Papadaki, E. (2025). AI: An active and innovative tool for artistic creation. Arts, 14(3), 52. https://doi.org/10.3390/arts14030052
  • Baas, M. (2024). Artificial Intelligence and the question of creativity: Art, data, and the sociocultural archive of AI-imaginations. European Journal of Cultural Studies, 27(4), 788-795. https://doi.org/10.1177/13675494241246640
  • Baxter, C. (2024, 18 Ekim). AI art: The end of creativity or the start of a new movement? BBC. https://www.bbc.com/future/article/20241018-ai-art-the-end-of-creativity-or-a-new-movement Erişim Tarihi: 27 Ağustos 2025.
  • Bellaiche, L., Shahi, R., Turpin, M. H., Ragnhildstveit, A., Sprockett, S., Barr, N., ... & Seli, P. (2023). Humans versus AI: whether and why we prefer human-created compared to AI-created artwork. Cognitive Research: Principles and Implications, 8(1), 42. https://doi.org/10.1186/s41235-023-00499-6
  • Boehman, C. (2025). In defense of AI art: History repeats itself, again, again, and again. Craig Boehman. https://craigboehman.com/blog/in-defense-of-ai-art Erişim Tarihi: 27 Ağustos 2025.
  • Bryman, A. (2012). Social research methods (4th ed.). Oxford: Oxford University Press.
  • Chatterjee, A. (2022). Art in an age of artificial intelligence. Frontiers in Psychology, 13, 1024449. https://doi.org/10.3389/fpsyg.2022.1024449
  • Clarke, L. (2022, 12 Kasım). When AI can make art – what does it mean for creativity? The Guardian. https://www.theguardian.com/technology/2022/nov/12/when-ai-can-make-art-what-does-it-mean-for-creativity-dall-e-midjourney Erişim Tarihi: 28 Ağustos 2025.
  • Crabtree-Ireland, D. (2025). Labour leaders: Artificial intelligence must serve human creativity, not replace it. World Economic Forum. https://www.weforum.org/stories/2025/01/artificial-intelligence-must-serve-human-creativity-not-replace-it/ Erişim Tarihi: 27 Ağustos 2025.
  • Cunningham, C. V., Radvansky, G. A., & Brockmole, J. R. (2025). Human creativity versus artificial intelligence: source attribution, observer attitudes, and eye movements while viewing visual art. Frontiers in Psychology, 16, 1509974. https://doi.org/10.3389/fpsyg.2025.1509974
  • Dilmaç, S. (2024). Yapay zekanın yaratıcılığı üzerine bir tartışma. art vision, 30(53), 240-252. https://doi.org/10.32547/artvision.1454216
  • du Sautoy, M. (2019). The creativity code: Art and innovation in the age of AI. Cambridge: The Belknap Pres of Harvard University Press.
  • Elliott, L. (2024). AI, Art, and creativity: Exploring the artist’s perspective. Salzburg Global. https://www.salzburgglobal.org/news/topics/article/ai-art-and-creativity-exploring-the-artists-perspective Erişim Tarihi: 27 Ağustos 2025.
  • Fedele, F. (2025). AI and art collide in this engineering course that puts human creativity first. The Conversation. https://theconversation.com/ai-and-art-collide-in-this-engineering-course-that-puts-human-creativity-first-256673 Erişim Tarihi: 28 Ağustos 2025.
  • Horton Jr, C. B., White, M. W., & Iyengar, S. S. (2023). Bias against AI art can enhance perceptions of human creativity. Scientific Reports, 13(1), 19001. https://doi.org/10.1038/s41598-023-45202-3
  • Horton, C., White, M. & Iyengar, S. (2025). When machines mimic, but don’t create: Why AI “art” isn’t true art. Columbia Business School. https://business.columbia.edu/press-release/cbs-press-releases/when-machines-mimic-dont-create-why-ai-art-isnt-true-art Erişim Tarihi: 28 Ağustos 2025.
  • Johnson-Laird, P. N. (1988). Freedom and constraint in creativity. R. J. Sternberg (Dü.) içinde, The nature of creativity: Contemporary psychological perspectives (s. 202–219). Cambridge: Cambridge University Press.
  • Loivaranta, T., Hautala, J., & Lundman, R. (2025). Spectrum of creative agencies in AI-based art: analysis of art reviews. Digital Creativity, 1-15. https://doi.org/10.1080/14626268.2025.2491471
  • Liu, B. (2023). Arguments for the rise of artificial intelligence art: Does AI art have creativity, motivation, self-awareness and emotion?. Arte, Individuo y Sociedad, 35(3), 811. https://dx.doi.org/10.5209/aris.83808
  • Magni, F., Park, J., & Chao, M. M. (2024). Humans as creativity gatekeepers: Are we biased against AI creativity? Journal of Business and Psychology, 39, 643–656. https://doi.org/10.1007/s10869-023-09910-x
  • Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(26), 1-9. https://doi.org/10.3390/arts8010026
  • Meijer, M. (2024). Knowing an artwork is AI-generated: How we value creativity. Rotterdam School of Management. https://www.rsm.nl/discovery/2024/value-of-ai-generated-art/ Erişim Tarihi: 27 Ağustos 2025.
  • Miller, A. (2019). The artist in the machine: The world of AI-powered creativity. Cambridge: The MIT Press.
  • Mineo, L. (2023, 15 Ağustos). If it wasn’t created by a human artist, is it still art? The Harvard Gazette. https://news.harvard.edu/gazette/story/2023/08/is-art-generated-by-artificial-intelligence-real-art/ Erişim Tarihi: 29 Ağustos 2025.
  • O'Toole, K., & Horvát, E. Á. (2024). Extending human creativity with AI. Journal of Creativity, 34(2), 100080. https://doi.org/10.1016/j.yjoc.2024.100080
  • Reinhart, E. (2025, 20 Mayıs). The trouble with AI art isn’t just lack of originality. It’s something far bigger. The Guardian. https://www.theguardian.com/commentisfree/2025/may/20/ai-art-concerns-originality-connection Erişim Tarihi: 29 Ağustos 2025.
  • Rietzschel, E. (2018). Freedom, structure, and creativity. R. Reiter-Palmon, & J. Kaufman Eds.) Individual creativity in the workplace (s. 203-222) içinde. Norwich, NY: William Andrew Publishing.
  • Root-Bernstein, R. (2025). An art-science perspective on artificial intelligence creativity: From problem finding to materiality and embodied cognition. Journal of Creativity, 35(2), 100097. https://doi.org/10.1016/j.yjoc.2025.100097
  • Shahriar, S. (2022). GAN computers generate arts? A survey on visual arts, music, and literary text generation using generative adversarial network. Displays, 73, 1-14. https://doi.org/10.1016/j.displa.2022.102237
  • Shata, A., & Hartley, K. (2025). Artificial intelligence and communication technologies in academia: Faculty perceptions and the adoption of generative AI. International Journal of Educational Technology in Higher Education, 22(14), 1-22. https://doi.org/10.1186/s41239-025-00511-7
  • Squires, V. (2023). Thematic analysis. Okoko, J. M., Tunison, S. & Walker, K. D. (Eds.), Varieties of qualitative research methods: Selected contextual perspectives (s. 463-468) içinde. Cham: Springer International Publishing.
  • Sutter, B. (2024). On AI art and creativity. Medium. https://medium.com/@hi_52656/on-ai-art-and-creativity-6c98cb612869 Erişim Tarihi: 28 Ağustos 2025.
  • Tıgremoura, F., Castrucci, C., & Hindley, C. (2024). Artificial intelligence creates art? An experimental investigation of value and creativity perceptions. The Journal of Creative Behavior, 57(4), 534–549. https://doi.org/10.1002/jocb.600
  • Walter, Y. (2025). The emerging “AI artists”: Breaking the metacrisis and the fear of losing human creativity. Nature Anthropology, 3(1), 10002. https://doi.org/10.70322/natanthropol.2025.10002
  • Yüksel, İ., & Aşan Yüksel, O. (2024). Sanatta yapay zeka devrimi: Yaratıcılığın yeni boyutları. Sanat & Tasarım Dergisi, 14(2), 261-285. https://doi.org/10.20488/sanattasarim.1602572
  • Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), 052. https://doi.org/10.1093/pnasnexus/pgae052
  • Zou, C., Yang, F., Song, J., & Han, Z. (2023). Generative adversarial network for wireless communication: Principle, application, and trends. IEEE Communications Magazine, 62(5), 58-64. https://doi.org/10.1109/MCOM.011.2200731

ART MAKING IN THE CONTEXT OF CHANGING COMMUNICATION TECHNOLOGIES: ARTIFICIAL INTELLIGENCE – CONSTRAINING OR FREEING CREATIVITY

Yıl 2026, Cilt: 16 Sayı: 1, 59 - 68, 01.01.2026

Öz

This study investigates whether artificial intelligence constrains or liberates creativity in the arts focusing on how technological mediation shapes artistic production. It adopts a qualitative research design. Thematic analysis examines a sample of 35 texts published between 2018-2025, alongside Johnson-Laird’s (1988) foundational theory of creativity. The sample includes academic articles, industry reports, and public commentaries from fields such as philosophy, aesthetics, communication, art history, education, and computer science. The analysis identifies four overarching themes: intentionality and meaning, the dialectic of constraints and liberation, perceptions of human versus AI-generated creativity, and technology as mediator and amplifier of creative processes. Findings show that intentionality remains the principal distinction between human-AI creativity. While AI can generate outputs that mimic established styles, its lack of tacit knowledge and embodied meaning constrains its recognition as autonomous creativity. The dialectic of constraint and liberation further demonstrates that AI does not inherently liberate or restrict creativity. Instead, its value depends on how artists appropriate algorithmic limits. Perceptions of creativity are equally important, with cultural biases privileging human authorship, though hybrid authorship models show potential for broader acceptance. AI functions as a technological mediator, amplifying creative possibilities but simultaneously embedding extractive infrastructures and ethical challenges around authorship and labour. The study contributes to literature by situating AI within long-standing debates on creativity, emphasising that its role lies less in replacing human agency than in reshaping conditions of creative practice. Practical implications highlight the need for artists, educators, and institutions to critically integrate AI in their work.

Kaynakça

  • Avlonitou, E., & Papadaki, E. (2025). AI: An active and innovative tool for artistic creation. Arts, 14(3), 52. https://doi.org/10.3390/arts14030052
  • Baas, M. (2024). Artificial Intelligence and the question of creativity: Art, data, and the sociocultural archive of AI-imaginations. European Journal of Cultural Studies, 27(4), 788-795. https://doi.org/10.1177/13675494241246640
  • Baxter, C. (2024, 18 Ekim). AI art: The end of creativity or the start of a new movement? BBC. https://www.bbc.com/future/article/20241018-ai-art-the-end-of-creativity-or-a-new-movement Erişim Tarihi: 27 Ağustos 2025.
  • Bellaiche, L., Shahi, R., Turpin, M. H., Ragnhildstveit, A., Sprockett, S., Barr, N., ... & Seli, P. (2023). Humans versus AI: whether and why we prefer human-created compared to AI-created artwork. Cognitive Research: Principles and Implications, 8(1), 42. https://doi.org/10.1186/s41235-023-00499-6
  • Boehman, C. (2025). In defense of AI art: History repeats itself, again, again, and again. Craig Boehman. https://craigboehman.com/blog/in-defense-of-ai-art Erişim Tarihi: 27 Ağustos 2025.
  • Bryman, A. (2012). Social research methods (4th ed.). Oxford: Oxford University Press.
  • Chatterjee, A. (2022). Art in an age of artificial intelligence. Frontiers in Psychology, 13, 1024449. https://doi.org/10.3389/fpsyg.2022.1024449
  • Clarke, L. (2022, 12 Kasım). When AI can make art – what does it mean for creativity? The Guardian. https://www.theguardian.com/technology/2022/nov/12/when-ai-can-make-art-what-does-it-mean-for-creativity-dall-e-midjourney Erişim Tarihi: 28 Ağustos 2025.
  • Crabtree-Ireland, D. (2025). Labour leaders: Artificial intelligence must serve human creativity, not replace it. World Economic Forum. https://www.weforum.org/stories/2025/01/artificial-intelligence-must-serve-human-creativity-not-replace-it/ Erişim Tarihi: 27 Ağustos 2025.
  • Cunningham, C. V., Radvansky, G. A., & Brockmole, J. R. (2025). Human creativity versus artificial intelligence: source attribution, observer attitudes, and eye movements while viewing visual art. Frontiers in Psychology, 16, 1509974. https://doi.org/10.3389/fpsyg.2025.1509974
  • Dilmaç, S. (2024). Yapay zekanın yaratıcılığı üzerine bir tartışma. art vision, 30(53), 240-252. https://doi.org/10.32547/artvision.1454216
  • du Sautoy, M. (2019). The creativity code: Art and innovation in the age of AI. Cambridge: The Belknap Pres of Harvard University Press.
  • Elliott, L. (2024). AI, Art, and creativity: Exploring the artist’s perspective. Salzburg Global. https://www.salzburgglobal.org/news/topics/article/ai-art-and-creativity-exploring-the-artists-perspective Erişim Tarihi: 27 Ağustos 2025.
  • Fedele, F. (2025). AI and art collide in this engineering course that puts human creativity first. The Conversation. https://theconversation.com/ai-and-art-collide-in-this-engineering-course-that-puts-human-creativity-first-256673 Erişim Tarihi: 28 Ağustos 2025.
  • Horton Jr, C. B., White, M. W., & Iyengar, S. S. (2023). Bias against AI art can enhance perceptions of human creativity. Scientific Reports, 13(1), 19001. https://doi.org/10.1038/s41598-023-45202-3
  • Horton, C., White, M. & Iyengar, S. (2025). When machines mimic, but don’t create: Why AI “art” isn’t true art. Columbia Business School. https://business.columbia.edu/press-release/cbs-press-releases/when-machines-mimic-dont-create-why-ai-art-isnt-true-art Erişim Tarihi: 28 Ağustos 2025.
  • Johnson-Laird, P. N. (1988). Freedom and constraint in creativity. R. J. Sternberg (Dü.) içinde, The nature of creativity: Contemporary psychological perspectives (s. 202–219). Cambridge: Cambridge University Press.
  • Loivaranta, T., Hautala, J., & Lundman, R. (2025). Spectrum of creative agencies in AI-based art: analysis of art reviews. Digital Creativity, 1-15. https://doi.org/10.1080/14626268.2025.2491471
  • Liu, B. (2023). Arguments for the rise of artificial intelligence art: Does AI art have creativity, motivation, self-awareness and emotion?. Arte, Individuo y Sociedad, 35(3), 811. https://dx.doi.org/10.5209/aris.83808
  • Magni, F., Park, J., & Chao, M. M. (2024). Humans as creativity gatekeepers: Are we biased against AI creativity? Journal of Business and Psychology, 39, 643–656. https://doi.org/10.1007/s10869-023-09910-x
  • Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(26), 1-9. https://doi.org/10.3390/arts8010026
  • Meijer, M. (2024). Knowing an artwork is AI-generated: How we value creativity. Rotterdam School of Management. https://www.rsm.nl/discovery/2024/value-of-ai-generated-art/ Erişim Tarihi: 27 Ağustos 2025.
  • Miller, A. (2019). The artist in the machine: The world of AI-powered creativity. Cambridge: The MIT Press.
  • Mineo, L. (2023, 15 Ağustos). If it wasn’t created by a human artist, is it still art? The Harvard Gazette. https://news.harvard.edu/gazette/story/2023/08/is-art-generated-by-artificial-intelligence-real-art/ Erişim Tarihi: 29 Ağustos 2025.
  • O'Toole, K., & Horvát, E. Á. (2024). Extending human creativity with AI. Journal of Creativity, 34(2), 100080. https://doi.org/10.1016/j.yjoc.2024.100080
  • Reinhart, E. (2025, 20 Mayıs). The trouble with AI art isn’t just lack of originality. It’s something far bigger. The Guardian. https://www.theguardian.com/commentisfree/2025/may/20/ai-art-concerns-originality-connection Erişim Tarihi: 29 Ağustos 2025.
  • Rietzschel, E. (2018). Freedom, structure, and creativity. R. Reiter-Palmon, & J. Kaufman Eds.) Individual creativity in the workplace (s. 203-222) içinde. Norwich, NY: William Andrew Publishing.
  • Root-Bernstein, R. (2025). An art-science perspective on artificial intelligence creativity: From problem finding to materiality and embodied cognition. Journal of Creativity, 35(2), 100097. https://doi.org/10.1016/j.yjoc.2025.100097
  • Shahriar, S. (2022). GAN computers generate arts? A survey on visual arts, music, and literary text generation using generative adversarial network. Displays, 73, 1-14. https://doi.org/10.1016/j.displa.2022.102237
  • Shata, A., & Hartley, K. (2025). Artificial intelligence and communication technologies in academia: Faculty perceptions and the adoption of generative AI. International Journal of Educational Technology in Higher Education, 22(14), 1-22. https://doi.org/10.1186/s41239-025-00511-7
  • Squires, V. (2023). Thematic analysis. Okoko, J. M., Tunison, S. & Walker, K. D. (Eds.), Varieties of qualitative research methods: Selected contextual perspectives (s. 463-468) içinde. Cham: Springer International Publishing.
  • Sutter, B. (2024). On AI art and creativity. Medium. https://medium.com/@hi_52656/on-ai-art-and-creativity-6c98cb612869 Erişim Tarihi: 28 Ağustos 2025.
  • Tıgremoura, F., Castrucci, C., & Hindley, C. (2024). Artificial intelligence creates art? An experimental investigation of value and creativity perceptions. The Journal of Creative Behavior, 57(4), 534–549. https://doi.org/10.1002/jocb.600
  • Walter, Y. (2025). The emerging “AI artists”: Breaking the metacrisis and the fear of losing human creativity. Nature Anthropology, 3(1), 10002. https://doi.org/10.70322/natanthropol.2025.10002
  • Yüksel, İ., & Aşan Yüksel, O. (2024). Sanatta yapay zeka devrimi: Yaratıcılığın yeni boyutları. Sanat & Tasarım Dergisi, 14(2), 261-285. https://doi.org/10.20488/sanattasarim.1602572
  • Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), 052. https://doi.org/10.1093/pnasnexus/pgae052
  • Zou, C., Yang, F., Song, J., & Han, Z. (2023). Generative adversarial network for wireless communication: Principle, application, and trends. IEEE Communications Magazine, 62(5), 58-64. https://doi.org/10.1109/MCOM.011.2200731
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Kitle İletişimi
Bölüm Araştırma Makalesi
Yazarlar

Burak Pekün 1417-1972-1969-1955

Gönderilme Tarihi 7 Ekim 2025
Kabul Tarihi 26 Aralık 2025
Yayımlanma Tarihi 1 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Cilt: 16 Sayı: 1

Kaynak Göster

APA Pekün, B. (2026). ART MAKING IN THE CONTEXT OF CHANGING COMMUNICATION TECHNOLOGIES: ARTIFICIAL INTELLIGENCE – CONSTRAINING OR FREEING CREATIVITY. Turkish Online Journal of Design Art and Communication, 16(1), 59-68. https://doi.org/10.7456/tojdac.1797992


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