TY - M-10361
AU - Michael, Jan
AU - Raymond, Paul
TI - Augmenting Creativity: Opportunities and Challenges of AI Integration in Visual Arts
T2 - Scientific Research Journal of Arts, Humanities and Social Science

PY - 2025
VL - 3
IS - 1
SN - 2584-0622

AB - Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, profoundly reshaping the landscape of visual arts. With the rapid advancement of generative systems—ranging from Generative Adversarial Networks (GANs) to diffusion models and multimodal large language models—AI is now capable of producing visual outputs that rival human artistry in complexity, coherence, and creativity. Unlike prior technological shifts such as photography or digital editing, which extended existing practices, AI introduces entirely new modes of image creation, challenging long-standing assumptions about creativity, authorship, and cultural value.This paper provides a comprehensive analysis of AI integration in visual arts, adopting a framework that treats AI not as a replacement for human creativity but as a co-creative agent in hybrid artistic production. Drawing from recent scholarship and practical examples, the study explores both opportunities and challenges of this transformation. On the one hand, AI democratizes access to art-making, accelerates creative workflows, fosters interdisciplinary practice, and generates novel aesthetic forms. On the other hand, it raises pressing questions about intellectual property, ethical use of training data, cultural homogenization, and the loss of human intentionality.Through literature review, detailed case studies—including Archive Dreaming by Refik Anadol, Portrait of Edmond de Belamy, and Zarya of the Dawn—and an analysis of system architectures underpinning AI-driven creativity, this paper critically evaluates how AI alters artistic processes, pedagogical models, and market dynamics. The findings suggest that while AI augments human imagination in unprecedented ways, responsible frameworks for authorship, cultural preservation, and ethical governance are urgently needed.

KW - Artificial Intelligence
KW -  Visual Arts
KW -  Creativity
KW -  Generative Models
KW -  Digital Aesthetics
KW -  Human–AI Collaboration
KW -  Ethics
KW -  Computational Creativity
KW -  Pedagogy
DO -