Year: 2025
Type: article
Abstract: This research examines the revolutionary effect of Artificial Intelligence (AI) on creative work, with a focus on how new technologies are shifting conventional definitions of creativity, authorship, and artistic worth. As machine learning, deep learning, and neural networks continue to advance, AI systems like Generative Adversarial Networks (GANs) and deep neural networks can currently create original works of visual art, music, literature, and digital media. These advancements undermine the centuries-old assumption that creativity is a human-specific attribute, as machines start producing content that is as complex and valuable as human-created art. From AI-painted works of art selling for millions to AI-written music and literature receiving mainstream recognition, this technological advancement poses important questions regarding the future of artistic careers, intellectual property rights, and the ethical limits of machine-generated creativity. The report seeks to explore these changes, providing an inside look at the ways in which AI is remaking the art world and how this is shaping artists, spectators, and the wider cultural environment.
Authors: Aiman Ume, Sanover Khanum J
Institution: CMR University
Language: English
Topic: Art, Technology, and Culture
Subfield: Visual Arts and Performing Arts
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409449989