This study critically examines the evolving relationship between Artificial Intelligence (AI) and contemporary art, exploring how computational systems are reshaping concepts of creativity, authorship, and aesthetic production. Tracing key historical developments—from Harold Cohen’s pioneering AARON program in the 1970s to contemporary practices employing deep learning and Generative Adversaria... More >>

This research focused on examination of the advantages and possibilities of AI digital textbooks using Generative AI at the present time when printed textbooks are completely replaced by the digital textbooks. Previous studies have proposed that historical content games have a positive effect on intellectual curiosity and acquiring knowledge, and the visual stimuli of dynamic images of games ha... More >>

The integration of Artificial Intelligence (AI) in video production represents a fundamental transformation in creative workflows, production methodologies, and content distribution. Through a comprehensive review centered on Our T2 Remake (OT2R) — a groundbreaking 2024 collaborative reinterpretation of Terminator 2: Judgment Day by 50 artists using generative AI — this article examines how eme... More >>

This article examines the impact of artificial intelligence (AI) on the visual production of contemporary art, generating debates about authorship, creativity, and aesthetic legitimacy, while addressing the ethical and labor implications of automated creation. The main objective of this research is to explore the perception, production, and philosophical implications of AI-generated visual art,... More >>

This case study delves into the unresolved philosophical complexities of representation in contemporary visual arts, using Refik Anadol’s Machine Hallucination series (2019–present) as a pivotal lens. By harnessing artificial intelligence (AI) to create immersive, data driven installations, Anadol’s work disrupts traditional notions of representation, authorship, agency, and viewer engagement w... More >>