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ThinkMind // MMEDIA 2020, The Twelfth International Conference on Advances in Multimedia // View article mmedia_2020_4_10_58005
AiArt: Towards Artificial Intelligence Art
 Authors:
Weiwen Chen
Shidujaman Mohammad
Xuelin Tang Keywords: artificial intelligence (AI); art; artificial intelligence art (AiArt); AiArt essence; AiArt characteristics Abstract:
With the advance of Artificial Intelligence (AI) applied profoundly into different areas of industries, a growing number of artists have shown great interest in exploring and discovering the potential possibilities of AI in art through embracing the latest techniques, such as neural networks and deep learning. As a result, a new kind of art named artificial intelligence art (AiArt) has emerged, which is a creative activity that combines artists with technical experts, intelligent robots, and audience by using AI as the core medium to create, express thoughts and emotions. The purpose of this article is to define the AiArt as an approach to distinguish it from other art forms and provide new inspiration and direction for art practitioners, theoreticians and scientists, which is related to one of the topics of the conference like “artificial intelligence injected artistic creation”. This paper first briefly reviews the recent development of AiArt and then attempts a discussion about the essence and characteristics of this new form of art through analyzing the disciplines behind the AI artworks. Finally, this paper draws the conclusion that the diversification of subjects, the intelligence of the media, and the modernization of expression are the nature of AiArt, which are the fundamental signs that distinguish AiArt from traditional arts, such as painting, sculpture, and digital art. In addition to the creative, historical, and aesthetic characteristics of general art, we suppose there are more four new features in AiArt: synesthesia experience, flowability and changeability, interaction and communication, and penetration and integration. Pages: 47 to 52 Copyright: Copyright (c) IARIA, 2020 Publication date: February 23, 2020 Published in: conference ISSN: 2308-4448 ISBN: 978-1-61208-772-6 Location: Lisbon, Portugal Dates: from February 23, 2020 to February 27, 2020
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