ESP-3859

Published

2025-07-28

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Vol. 10 No. 7 (2025): Published

Section

Research Articles

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Copyright (c) 2025 Jie Liu

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How to Cite

Jie Liu. (2025). Ethical dilemmas and cultural tensions: Socio-Psychological effects of AI image art — Value conflicts and adaptation mechanisms in the digital media ecosystem. Environment and Social Psychology, 10(7), ESP-3859. https://doi.org/10.59429/esp.v10i7.3859

Ethical dilemmas and cultural tensions: Socio-Psychological effects of AI image art — Value conflicts and adaptation mechanisms in the digital media ecosystem

Jie Liu

Communication University of Shanxi, Shanxi, 030619, China ; The graduate school of Advanced Imaging Science, Chung-Ang University,Seoul , 06974, Korea


DOI: https://doi.org/10.59429/esp.v10i7.3859


Keywords: Artificial intelligence art; Socio-psychological effects; ethical dilemmas; cultural tensions; digital media ecosystems; value conflicts; adaptation mechanisms; environmental psychology; creative identity; algorithmic agency

Abstract

This study employs environmental psychology and social psychology theories to comprehensively examine the ethical dilemmas and cultural tensions arising from artificial intelligence image art within digital media ecosystems, focusing on the socio-psychological effects and value conflict resolution mechanisms. The research reveals that the emergence of AI art creates "normative disruption environments" that systematically challenge traditional creative authority, authenticity perceptions, and cultural value systems, generating multifaceted ethical dilemmas including copyright attribution, moral responsibility delineation, and algorithmic transparency concerns. Simultaneously, significant tensions arise between technological democratization processes and established cultural authorities, manifesting as intergenerational conflicts, cross-cultural adaptation disparities, and value system reconstructions. At the individual level, AI art catalyzes profound psychological adaptation processes among creators, including "distributed creative identity" reconstruction, "algorithmic agency negotiation," and "aesthetic schema rebuilding," while audiences confront fundamental adjustments to their aesthetic cognitive frameworks. The study further unveils multilayered value conflict resolution mechanisms, encompassing individual "ethical pluralism development," community "cultural hybridization formation," and institutional "adaptive norm emergence," demonstrating human society's remarkable cultural resilience and adaptive capacity under technological disruption. The research indicates that successfully addressing AI art challenges requires developing new forms of "digital cultural literacy" that encompasses not only technical competencies but also deep psychological understanding of how algorithmic systems influence cognition, emotion, and social relationships, ultimately pointing toward a future of human-AI collaborative creation that must be grounded in sophisticated balance between technological capabilities and human psychological needs.

References

[1]. 1.Klingemann, M. (2018). "NeuralTalk2: Generating Human Descriptions of Images." Proceedings of the European Conference on Computer Vision (ECCV).

[2]. 2.Chung, S. (2016). "Drawing Operations Unit: An Autonomous Machine." Retrieved from http://sougwen.com/projects/drawing-operations-unit

[3]. 3.Barrat, R. (2018). "AI Art at Christie's Sells for $432,500." Retrieved from https://robbiebarrat.com/2018-10-25/

[4]. 4.Mordvintsev, A., Olah, C., & Tyka, M. (2015). "Inceptionism: Going Deeper into Neural Networks." Google Research Blog. Retrieved from https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html

[5]. 5.Elgammal, A. (2020). "The AI Art Movement." Retrieved from https://www.artnews.com/art-in-america/features/the-ai-art-movement-64003/

[6]. 6.Klingemann, M. (2018). "Memories of Passersby I." Retrieved from https://neural.love/2018/12/10/memories-of-passersby-i/

[7]. 7.McCosker, A. (2018). "What is AI Art?" Retrieved from https://www.tate.org.uk/research/publications/in-focus/what-is-ai-art

[8]. 8.Chung, S. (2016). "Drawing Operations Unit: An Autonomous Machine." Retrieved from http://sougwen.com/projects/drawing-operations-unit

[9]. 9.Anadol, R. (2019). "Machine Hallucinations." Retrieved from https://refikanadol.com/works/machine-hallucinations/

[10]. 10.Runway ML. (n.d.). "About Runway." Retrieved from https://runwayml.com/about/

[11]. 11.McCosker, A. (2018). "What is AI Art?" Tate Research Publication. Retrieved from https://www.tate.org.uk/research/publications/in-focus/what-is-ai-art

[12]. 12.Machado, P., Romero, E., Prado, R., & Dorneles, T. (2019). "AI in Art: Generating Art with Machine Learning." Proceedings of the 24th Brazillian Symposium on Multimedia and the Web.

[13]. 13.Fiebrink, R., Maheswaran, M., McNamara, A., Momeni, A., & Trueman, D. (2020). "Machine Learning for Creativity and Design: Notes on the History and Practice of Machine Learning in the Arts." International Journal of Computational Creativity, 5(1), 3-18

[14]. 14.Mordvintsev, A., Olah, C., & Tyka, M. (2015). "Inceptionism: Going Deeper into Neural Networks." Google Research Blog. Retrieved from https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html

[15]. 15.Anadol, R. (2019). "Machine Hallucinations." Retrieved from https://refikanadol.com/works/machine-hallucinations/

[16]. 16.Campagnolo, A., & Dunn, S. (2017). "Copyright and the Use of Digital Technologies in the Cultural and Heritage Sector." In Copyright and Cultural Institutions (pp. 3-14). Routledge.

[17]. 17.Rosen, A. (2021). "Ethics in Conservation: AI and the Dilemmas of Digital Restoration." E-conservation Magazine, 58, 31-37.

[18]. 18.Zhang, J., Arora, R., Raghavan, H., & Bhargava, R. (2020). "Artificial Intelligence in Creative Arts: Current Research and Future Opportunities." Proceedings of the AAAI Conference on Artificial Intelligence, 34(06), 9473-9480.

[19]. 19.Gupta, A., Karami, A., & Ozertem, U. (2019). "Content Recommendation Systems in Digital Media: A Survey." IEEE Transactions on Multimedia, 21(5), 1142-1163.

[20]. 20.Grubert, J., Langlotz, T., Zollmann, F., & Regenbrecht, H. (2017). "Evaluation of Augmented Reality Head-Mounted Displays in a Real-World Museum Environment." IEEE Transactions on Visualization and Computer Graphics, 23(11), 2467-2475.

[21]. 21.Thom, M. (2020). "Artificial Intelligence and the Enhancement of Creativity: Introduction to the Special Issue." AI & Society, 35(1), 1-7.

[22]. 22.Sani, S., Shehu, I., & Novak, J. (2021). "Bias in AI-Generated Content: A Study on the GPT-3 Model." IEEE Access, 9, 46354-46363.

[23]. 23.Karakose, T., Tülübaş, T., & Papadakis, S. (2022). Revealing the intellectual structure and evolution of digital addiction research: An integrated bibliometric and science mapping approach. International Journal of Environmental Research and Public Health, 19(22), 14883.

[24]. 24.Tülübaş, T., Karakose, T., & Papadakis, S. (2023). A holistic investigation of the relationship between digital addiction and academic achievement among students. European Journal of Investigation in Health, Psychology and Education, 13(10), 2006-2034.



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