Interdisciplinary Research on Art in the AI Era—Trends, Methods and Practices

Abstract

This review article examines the fascinating academic field of art and artificial intelligence (AI) and seeks to determine the current state of research in this area. Firstly, our proposal is to prioritise the definition of the primary directions and tendencies. Secondly, we suggest comparing various approaches to the research. Lastly, we want to provide concrete instances of how these directions and tendencies interact in real-life situations. Method: We conducted a deep investigation into the fields of artificial intelligence and art, focusing on various approaches to extensive research, categorization of studies, industry analysis, and practical demonstrations. We limited our research to primary and secondary sources for the collection of both qualitative and quantitative data, with a particular emphasis on collaborations between artists and AI researchers. The main internal barrier was methodological, as we encountered some challenges during the process, but we were able to devise strategies to overcome them. Results: Here, the study singles out several important trends related to the use of artificial intelligence in art, The study highlights the emergence of AI art, the integration of machine learning into art-related processes, and the fusion of traditional and digital art forms. The amalgamation of traditional and digital art forms is a common practice. In aesthetic production, AI tools and software can be considered essential elements of contemporary artistic procedures. The outcomes also stress the need to focus on interdisciplinary collaboration with regards to educational initiatives, training sessions, and future business developments. Some of the most important points of reflection for this discussion are the ethical and philosophical questions about the author and ownership rights to AI-styled art. Conclusion: Incorporating artificial intelligence into the arts implies that such a discipline is a plural and evolving field of research, embracing various branches of knowledge. Given that ethical issues serve as a platform for ongoing discussions among artists, AI researchers, and politicians, this analysis emphasizes the need for future investigations to delve into emerging technologies, incorporate additional methodologies, and employ innovative approaches to fortify the connection between art and artificial intelligence.