Creativity and Artificial Intelligence: A Digital Art Perspective

ZotWeb	article-journal
Src Url	Xing, Marwala (2018)

Abstract

This paper describes the application of artificial intelligence to the creation of digital art. AI is a computational paradigm that codifies intelligence into machines. There are generally three types of artificial intelligence and these are machine learning, evolutionary programming and soft computing. Machine learning is the statistical approach to building intelligent systems. Evolutionary programming is the use of natural evolutionary systems to design intelligent machines. Some of the evolutionary programming systems include genetic algorithm which is inspired by the principles of evolution and swarm optimization which is inspired by the swarming of birds, fish, ants etc. Soft computing includes techniques such as agent based modelling and fuzzy logic. Opportunities on the applications of these to digital art are explored.

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Annotations

[...] application of artificial intelligence (AI) to the creation of digital art.

#context
AIContext

Machine learning is the statistical approach to building intelligent systems.

machine learning

evolutionary programming

soft computing.

Evolutionary programming is the use of natural evolutionary systems to design intelligent machines

Soft computing includes techniques such as agent based modelling and fuzzy logic.

[...] definition of creativity remains rather controversial [...]   (Tang and Werner, 2017; Hernandez-Romero, 2017).

Though creativity can be generally understood as the capability of producing original and novel work or knowledge, the universaldefinition of creativity remainsrather controversial, mainlydue to its complex nature (Tang and Werner, 2017; Hernandez-Romero, 2017).

[...] classified into three categories, namely, narrow AI, AGI (artificial general intelligence), and conscious AI (Wang and Goertzel, 2012).

Why Digital Art ?

Creativity and Artificial Intelligence

Short-Term Cases: AI-A ssisted Digital Art Creation

Mid-Term Cases: Human and AI Collaborated Digital Art Creation

Long-Term Cases: Art Decentralized Autonomous Organization (ArtDAO)

Technological development or revolution has a long history of influencing creativity.

With new communication capacity being enabled by this technological advancement, the widespread of material and intellectual exchange becomes possible.

e user friendly interface will become a crucial element for facilitating the interaction between human and robot

The current usefulness of AI does not necessarily dwarf our human’s creativity; on the contrary, the research and development of AI is largely spurred by our own internal creativity.

Lawless WF, Mittu R, Sofge D, et al. (2017) Autonomy and artificial intelligence: a threat or savior?, Gewerbestrasse 11, 6330 Cham, Switzerland: Springer International Publishing AG, ISBN 978-3-319-59718-8.

Creativity and Artificial Intelligence: A Digital Art Perspective

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Opportunities on the applications of these to digital art are explored.

#goal

As innovation emphasizes the implementation of ideas, creativity is typically regarded as the first stage of innovation in which generating ideas becomes the dominant focus (Tang and Werner, 2017; Amabile, 1996; Mumford and Gustafson, 1988; Rank et al., 2004; West, 2002). In other words, if creativity is absent, innovation could be just luck. [...]  definition of creativity remains rather controversial,  mainly due to its complex nature (Tang and Werner, 2017; Hernández-Romero, 2017).

#problematic
AIProblematic

Reference

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#biblio

Bo Xing and Tshilidzi Marwala

Citer: (Xing & Marwala, 2018)

FTag:Xing-Marwala-2018

APA7: Xing, B., & Marwala, T. (2018). Creativity and Artificial Intelligence: A Digital Art Perspective. https://arxiv.org/abs/1807.08195v1

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