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Art, Creativity, and the Potential of Artificial Intelligence

Department of Art & Architectural History, College of Charleston, Charleston, SC 29424, USA
Department of Computer Science, Rutgers University, New Brunswick, NJ 08901-8554, USA
Authors to whom correspondence should be addressed.
Received: 2 January 2019 / Revised: 12 February 2019 / Accepted: 14 February 2019 / Published: 21 February 2019
(This article belongs to the Special Issue The Machine as Artist (for the 21st Century))
PDF [1541 KB, uploaded 21 February 2019]


Our essay discusses an AI process developed for making art (AICAN), and the issues AI creativity raises for understanding art and artists in the 21st century. Backed by our training in computer science (Elgammal) and art history (Mazzone), we argue for the consideration of AICAN’s works as art, relate AICAN works to the contemporary art context, and urge a reconsideration of how we might define human and machine creativity. Our work in developing AI processes for art making, style analysis, and detecting large-scale style patterns in art history has led us to carefully consider the history and dynamics of human art-making and to examine how those patterns can be modeled and taught to the machine. We advocate for a connection between machine creativity and art broadly defined as parallel to but not in conflict with human artists and their emotional and social intentions of art making. Rather, we urge a partnership between human and machine creativity when called for, seeing in this collaboration a means to maximize both partners’ creative strengths. View Full-Text
Keywords: artificial intelligence; art; creativity; computational creativity; deep learning; adversarial learning artificial intelligence; art; creativity; computational creativity; deep learning; adversarial learning

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Mazzone, M.; Elgammal, A. Art, Creativity, and the Potential of Artificial Intelligence. Arts 2019, 8, 26.

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