Photographic Art and Artificial Intelligence: Evolution of Technological Approaches and Artistic Expression
DOI:
https://doi.org/10.32461/2226-3209.4.2025.351855Keywords:
photography, post-photography, virtual photography, photographic art, digital photorealism, artificial intelligence, visual imageAbstract
The purpose of the article is to determine the ability of generative artificial intelligence to reproduce photographic reality and to identify the technical, artistic, and methodological aspects of such replication. The research methodology involved the use of the following methods and approaches: analysis of scientific sources – to identify contemporary approaches in photographic art; the comparative method – which made it possible to determine similarities and differences when juxtaposing original photographs with generated images; and the method of semiotic analysis – which helped outline the changes in the nature of the photographic image and the modes of representing reality in the age of artificial intelligence. The scientific novelty of the article lies in the comparative analysis of three types of images: the original photograph, the image created using a text prompt, and the replica generated on the basis of the photograph itself (image-to-image). The study combines and reveals specific limitations of generative AI in reproducing texture, light, and authenticity, and formulates a methodology for assessing the technical and aesthetic aspects of AI-generated images. Conclusions. Artificial intelligence technologies do not merely transform the tools available to photographers – they change the very philosophy of imagery. Photographs shift from an empirical level to a semiotic-cognitive one, in which light and composition become secondary to language, meaning, interpretation, and interaction with the algorithm. The conducted research has shown that the image-to-image replica is the closest to the original photograph, whereas text-based generation demonstrates a lower degree of visual and artistic identity. Textual generation produces an aesthetically complete but “post-photographic” image devoid of the authentic aura of the moment. AI confirms the tendency toward the emergence of a new genre – “virtual photography,” in which realism is the result of an algorithm rather than optics. It becomes a new tool for exploring the aesthetics of photographic art, yet it is still unable to reproduce the life context and emotional energy of the moment conveyed by a real photograph.
References
Dolhanenko, O. D., Shyrokopetlieva, M. S., Shtanko, V. I., & Repikhov, V. M. (2024). Artificial intelligence and images: Forgery, augmentation, or reality? Scientific Works of Vinnytsia National Technical University, (3), 1–8. DOI: https://doi.org/10.31649/2307-5376-2024-3-17-24 [in Ukrainian].
Kozlovska, N. A. (2024). Artificial intelligence in innovative processes of creating fine art. In Science, technologies, innovations: New approaches and current research: Proceedings of the 2nd Scientific and Practical Conference (Poltava, September 27–28, 2024) (pp. 15–18). Poltava. Retrieved from: https://molodyivchenyi.ua/omp/index.php/conference/catalog/book/114 [in Ukrainian].
Manskova, Yu. (2023). Artificial intelligence in design: Assistant or threat to the profession. In Information technologies in the modern world: Research of young scientists: Proceedings of the International Scientific and Practical Conference of Young Scientists, Postgraduates, and Students (Kharkiv, February 16–17, 2023) (p. 136). Kharkiv. Retrieved from: https://openarchive.nure.ua/server/api/core/bitstreams/6f914e14-2ae4-43e1-9ef9-40eebaf099a1/content [in Ukrainian].
Misiak, O. V. (2024). The genesis of street photography in the context of the specifics of the digital age. Herald of the National Academy of Culture and Arts Management, (3), 83–89. DOI: https://doi.org/10.32461/2226-3209.3.2024.313278 [in Ukrainian].
Nazarevych, V. V., Boreichuk, I. O., & Korobanova, O. L. (2024). Photography as a therapeutic form of recording reality. Current Issues of Psychology, (65), 269–275. DOI: https://doi.org/10.32782/2663-5208.2024.65.47 [in Ukrainian].
Rodyhin, K. M. (2024). Illustrative “photographs” created by artificial intelligence as a challenge for visual journalism. In Applied Aspects of Modern Interdisciplinary Research: Proceedings of the 2nd International Scientific and Practical Conference (pp. 265–267). Vinnytsia. Retrieved from: https://jpasmd.donnu.edu.ua/article/view/14843 [in Ukrainian].
Almas, E. (29.10.2023). AI and Me: How Image Generation is Changing My Role as a Photographer. PetaPixel. Retrieved from: https://petapixel.com/2023/10/29/ai-and-me-how-image-generation-is-changing-my-role-as-a-photographer/ [in English].
Benjamin, W. (2008). The Work of Art in the Age of Its Technological Reproducibility and Other Writings on Media. Harvard University Press [in English].
Cetinic, E., & She, J. (2021). Understanding and Creating Art with AI: Review and Outlook. arXiv:2102.09109 [cs.CV]. Retrieved from: https://arxiv.org/abs/2102.09109 [in English].
Chen, Yo. (2024). Artificial Intelligence Technology in Photography and Future Challenges and Reflections. The Frontiers of Society, Science and Technology, 6 (6), 24–30. DOI: https://doi.org/10.25236/FSST.2024.060605 [in English].
Djouahra, A. (10.01.2024). Embracing the Power of Artificial Intelligence (AI) in Photography (By Amine Djouahra). African Business. Retrieved from: https://african.business/2024/01/apo-newsfeed/embracing-the-power-of-artificial-intelligence-ai-in-photography-by-amine-djouahra [in English].
Gross, E.-C. (2024). The Art of AI: Perspectives on Artificial Intelligence in Photography. Bulletin of the Transilvania University of Braşov. Series VII: Social Sciences. Law, 17 (66), 1. DOI: https://doi.org/10.31926/but.ssl.2024.17.66.1.12 [in English].
Hausken, L. (2024). AI Photorealism: The Boundary between Photography and Generation. Journal of Visual Culture, 23(2). DOI: https://doi.org/10.1080/20004214.2024.2340787 [in English].
Khara, S. (2025). Artificial Intelligence and Deep Learning in Wedding Photo and Video Content Creation. Information and Communication Technologies in Education. DOI: https://doi.org/10.5281/zenodo.15168074 [in English].
Morganti, A. (August 20, 2025). AI and Photography (Again). Medium. Retrieved from: https://medium.com/@anthonymorganti/ai-and-photography-again-55654bf077ed [in English].
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License International CC-BY that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).