AI in Arts: Augmenting Creativity Without Replacing It

This article examines the evolving relationship between artificial intelligence and artistic creation, tracing the transformation from early digital art to contemporary AI-driven creative practices. Starting with the historical evolution of digital art since the 1960s, the article progresses through the current applications of generative AI across multiple creative domains, highlighting how these technologies have transitioned from experimental tools to essential components of modern artistic workflows. The discussion explores various partnership models between human creators and AI systems, including AI as an ideation engine, technical facilitator, and co-creator, demonstrating how these collaborative frameworks enhance rather than replace human creativity. Attention is given to emerging art forms made possible through AI, such as responsive installations, procedural narratives, collaborative mass creation, and trans-medium translation, which fundamentally reimagine traditional artistic boundaries. The article addresses critical ethical dimensions surrounding authorship, ownership, and attribution in AI-assisted creative works, examining how traditional frameworks struggle to accommodate these new collaborative paradigms. Throughout, the article presents substantial evidence that the future of creativity lies not in apocalyptic scenarios of human replacement but in symbiotic relationships where AI and human intelligence complement each other's strengths and compensate for respective limitations, ultimately expanding the horizons of artistic expression rather than constraining them.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-05-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n391628
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in Arts: Augmenting Creativity Without Replacing It

Amit Arora
European Journal of Computer Science and Information Technology
Aesthetic Perception and Analysis
article

AI in Arts: Augmenting Creativity Without Replacing It

Amit Arora
article en

Abstract

This article examines the evolving relationship between artificial intelligence and artistic creation, tracing the transformation from early digital art to contemporary AI-driven creative practices. Starting with the historical evolution of digital art since the 1960s, the article progresses through the current applications of generative AI across multiple creative domains, highlighting how these technologies have transitioned from experimental tools to essential components of modern artistic workflows. The discussion explores various partnership models between human creators and AI systems, including AI as an ideation engine, technical facilitator, and co-creator, demonstrating how these collaborative frameworks enhance rather than replace human creativity. Attention is given to emerging art forms made possible through AI, such as responsive installations, procedural narratives, collaborative mass creation, and trans-medium translation, which fundamentally reimagine traditional artistic boundaries. The article addresses critical ethical dimensions surrounding authorship, ownership, and attribution in AI-assisted creative works, examining how traditional frameworks struggle to accommodate these new collaborative paradigms. Throughout, the article presents substantial evidence that the future of creativity lies not in apocalyptic scenarios of human replacement but in symbiotic relationships where AI and human intelligence complement each other's strengths and compensate for respective limitations, ultimately expanding the horizons of artistic expression rather than constraining them.

European Journal of Computer Science and Information TechnologyVol. 13(39)
Openalex Percentile: Top 87%
Aesthetic Perception and Analysis
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AI in Arts: Augmenting Creativity Without Replacing It — Amit Arora · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS