This research aims to explore the complex and intertwined relationship between AI-derived sources of inspiration and their impact on both the similarity in artistic and creative production and the individual identity of creators. In an era when AI is increasingly capable of generating diverse and innovative content, it is essential to understand how artists, designers and writers interact with these technologies, and whether these interactions diminish originality and individuality, or open up new avenues of creative expression.
The paper details the different ways in which AI can be a source of inspiration, from generating initial ideas and models, to introducing new patterns and methods that may not have been thought of in traditional ways, to its potential as a tool for simulation and experimentation. However, the research raises fundamental questions about the implications of increased reliance on these sources. Does the use of pervasive AI models lead to the standardization and standardization of creative work, resulting in a marked similarity between different works and reducing the opportunity for individuality? Or can AI, with its ability to process vast amounts of data and provide unexpected insights, be a catalyst for the development of unique and innovative approaches, thereby enhancing the individual identity of the creator?
The research adopts a critical analytical methodology, based on a comprehensive review of the literature on AI in the arts and creativity, as well as selected case studies of artworks and creative projects in which AI has been used as a source of inspiration. It also discusses the ethical and legal challenges related to the ownership of AI-derived works, and its impact on the concept of originality and innovation. In conclusion, it aims to provide a theoretical framework that helps in a deeper understanding of the role of AI as a source of inspiration, and how creators can strike a balance between capitalizing on its enormous potential and maintaining their individuality in this rapid technological transformation.
Omar Mohammed Abdul Aziz, A. (2025). Sources of AI inspiration between similarity and individual identity. مجلة العمارة و الفنون و العلوم الإنسانية, 10(14), 252-271. doi: 10.21608/mjaf.2025.393575.3751
MLA
Ahmed Omar Mohammed Abdul Aziz. "Sources of AI inspiration between similarity and individual identity", مجلة العمارة و الفنون و العلوم الإنسانية, 10, 14, 2025, 252-271. doi: 10.21608/mjaf.2025.393575.3751
HARVARD
Omar Mohammed Abdul Aziz, A. (2025). 'Sources of AI inspiration between similarity and individual identity', مجلة العمارة و الفنون و العلوم الإنسانية, 10(14), pp. 252-271. doi: 10.21608/mjaf.2025.393575.3751
VANCOUVER
Omar Mohammed Abdul Aziz, A. Sources of AI inspiration between similarity and individual identity. مجلة العمارة و الفنون و العلوم الإنسانية, 2025; 10(14): 252-271. doi: 10.21608/mjaf.2025.393575.3751