ARTIFICIAL INTELLIGENCE-GENERATED ART AND THE QUESTION OF AUTHORSHIP
DOI:
https://doi.org/10.29121/shodhkosh.v7.i3s.2026.7311Keywords:
Artificial Intelligence Art, Generative Algorithms, Digital Authorship, Computational Creativity, Gans And Diffusion Models, Human–Ai CollaborationAbstract [English]
Artificial Intelligence (AI) has quickly changed the artistic production by allowing machines to produce images, music, literature, and multimedia works that mimic the work of humans with regard to creativity. The latest developments of machine learning, especially deep neural networks, Generative Adversarial Networks (GANs), and diffusion-based models, have increased what computational systems can do: creating complex artistic patterns based on massive data. Such developments have also brought up critical theoretical, legal, and philosophical issues of authorship, originality, and creative ownership on AI-generated artworks. This paper looks at the technical underlying principals of AI generated art and discusses the processes by which algorithms discover stylistic tropes, generate visual shapes and respond to human intervention in user prompts and parameter adjustment. The paper also discusses the changing argument over authorship in AI-generated art, which takes into account programmers, dataset curators, artists, and end users advantages in the creative pipeline. Moral and cultural considerations are also outlined, such as the issues concerning intellectual property, cultural biasness in training data, and the possible repercussion to the conventional artistic careers. With the combination of the views of computational creativity, the digital humanities and the cultural policy, the study points to the transformative paradigm of human-intelligent systems collaborativity of creativity.
References
Abbott, R. (2023). We, the Robots? Regulating Artificial Intelligence and the Limits of the Law. International and Comparative Law Quarterly, 72, 272–273. DOI: https://doi.org/10.1017/S0020589322000410
Alotaibi, N. S. (2024). The impact of AI and LMS Integration on the Future of Higher Education: Opportunities, Challenges, and Strategies for Transformation. Sustainability, 16, Article 10357. https://doi.org/10.3390/su162310357 DOI: https://doi.org/10.3390/su162310357
Babu, M. R. N., Tungoe, C., Vasanthan, R., Pimple, J., Khandare, K. S., and Kalyani, L. K. (2025). AI for Accessibility in Digital Media Education. Shodhkosh, 6(2S), Article 67. https://doi.org/10.29121/shodhkosh.v6.i2s.2025.67 DOI: https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6704
Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., and Sun, L. (2023). A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. Arxiv.
Davidovitch, N., and Cohen, E. (2024). Administrative Roles in Academia: Potential Clash with Research Output and Teaching Quality? Cogent Education, 11, Article 2357914. https://doi.org/10.1080/2331186X.2024.2357914 DOI: https://doi.org/10.1080/2331186X.2024.2357914
Ernesto, D., and Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13, Article 856. https://doi.org/10.3390/educsci13090856 DOI: https://doi.org/10.3390/educsci13090856
Fathima, M. (2025). Determinants of Cross-Cultural Competence Among IT Professionals in Chennai. International Journal of Research and Development in Management Research (IJRDMR), 14(2), 9–19. https://doi.org/10.65521/ijrdmr.v14i2.923 DOI: https://doi.org/10.65521/ijrdmr.v14i2.923
Garg, N., Jadhav, K. D., Solanki, S., Dabral, K., Padghan, N. P., and Gode, S. A. (2025). Public Private Partnerships for Sustainable Urban WASH Infrastructure Development. Waterlines, 43(2), 113–130. https://doi.org/10.3362/waterlines.v43i2.528 DOI: https://doi.org/10.3362/waterlines.v43i2.528
Hazarika, C. A. I., Khalfan, J., Ahmed, M., Yousif, A., and Hussain, J. (2024). Role of Fintech as an Enabler to Fulfill HR Requirements and Attain Sustainability. In A. Hamdan and A. Harraf (Eds.), Business Development Via AI and Digitalization (Studies in Systems, Decision and Control, Vol. 537). Springer. https://doi.org/10.1007/978-3-031-62106-2_5 DOI: https://doi.org/10.1007/978-3-031-62106-2_5
Hook, S. (2024). Moral Rights, Creativity, and Copyright Law: The Death of the Transformative Author. Routledge. https://doi.org/10.4324/9781003412144 DOI: https://doi.org/10.4324/9781003412144
Hutson, J., and Lang, M. (2023). Content Creation or Interpolation: AI Generative Digital Art in the Classroom. Metaverse, 4, Article 13. https://doi.org/10.54517/m.v4i1.2158 DOI: https://doi.org/10.54517/m.v4i1.2158
Kalniņa, D., Nīmante, D., and Baranova, S. (2024). Artificial Intelligence for Higher Education: Benefits and Challenges for Pre-Service Teachers. Frontiers in Education, 9, Article 1501819. https://doi.org/10.3389/feduc.2024.1501819 DOI: https://doi.org/10.3389/feduc.2024.1501819
Kretschmer, M., Meletti, B., Bently, L., Cifrodell, G., Eben, M., Erickson, K., Iramina, A., Li, Z., McDonagh, L., Perot, E., et al. (2025). Copyright and AI in the UK: Opting-in or Opting-Out? GRUR International, 74, 1055–1070. https://doi.org/10.1093/grurint/ikaf093 DOI: https://doi.org/10.1093/grurint/ikaf093
Lacey, M. M., and Smith, D. P. (2023). Teaching and Assessment of the Future Today: Higher Education and AI. Microbiology Australia, 44, 124–126. https://doi.org/10.1071/MA23036 DOI: https://doi.org/10.1071/MA23036
O’Dea, X. (2024). Generative AI: Is it a Paradigm Shift for Higher Education? Studies in Higher Education, 49, 811–816. https://doi.org/10.1080/03075079.2024.2332944 DOI: https://doi.org/10.1080/03075079.2024.2332944
Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., and Sra, M. (2021). AI-Generated Characters for Supporting Personalized Learning and Well-Being. Nature Machine Intelligence, 3, 1013–1022. https://doi.org/10.1038/s42256-021-00417-9 DOI: https://doi.org/10.1038/s42256-021-00417-9
Rawandale, U. S., and Kolte, M. T. (2019). Study of Audiogram for Speech Processing in Hearing Aid System. In 2019 IEEE Pune Section International Conference (PuneCon) ( 1–4). IEEE. https://doi.org/10.1109/PuneCon46936.2019.9105706 DOI: https://doi.org/10.1109/PuneCon46936.2019.9105706
Sullivan, M., Kelly, A., and McLaughlan, P. (2023). ChatGPT in Higher Education: Considerations for Academic Integrity and Student Learning. Journal of Applied Learning and Teaching, 6, 1–10. https://doi.org/10.37074/jalt.2023.6.1.17 DOI: https://doi.org/10.37074/jalt.2023.6.1.17
Suri, S., Lakshman, K., Goyal, E., Goyal, G., Sood, G., Mirajkar, G. S., and Anerao, P. (2025). Emotion Modeling in Sculpture Design Using Neural Networks. Shodhkosh: Journal of Visual and Performing Arts, 6(3S), 31–40. https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6756 DOI: https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6756
Venkata, S. B., Wong, C. H., Karwande, V. S., Divyaraj, G., Singh, S., and Patil, R. V. (2025). Metaheuristic-Tuned GraMNet Architecture for Enhanced Video-Based Anomaly Detection Using UCF50 Dataset. In Proceedings of the International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3 2025). https://doi.org/10.1109/ISAC364032.2025.11156508 DOI: https://doi.org/10.1109/ISAC364032.2025.11156508
Walczak, K., and Cellary, W. (2023). Challenges for Higher Education in the Era of Widespread Access to Generative AI. Economics and Business Review, 9, 71–100. https://doi.org/10.18559/ebr.2023.2.743 DOI: https://doi.org/10.18559/ebr.2023.2.743
Xu, B., and Jiang, J. (2022). Exploitation for Multimedia Asian Information Processing and Artificial Intelligence-Based Art Design and Teaching in Colleges. ACM Transactions on Asian and Low-Resource Language Information Processing, 21, Article 114. https://doi.org/10.1145/3526219 DOI: https://doi.org/10.1145/3526219
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