Abstract

To speak comfortably of the machine artist (as outlined in the call for papers for this Special Issue) makes key assumptions about what it is to be an artist. It assumes, for instance, that the experience of living as an artist, which includes the socialisation, hard work, single-mindedness, and focused energy of creative activity, is incidental rather than essential since these aspects are not comfortably applicable to machines. Instead, it supposes that what is essential is the artistic product, and it is the similarity of human and machine products that makes it possible to speak of machine artists. This definition of art in terms of products is supported by modern psychological theories of creativity, defined as the generation of novel ideas which give rise to valuable products. These ideas take place in the mind or brain, regarded as a closed system within whose workings the secret of creativity will eventually be revealed. This is the framework of what is widely referred to as “cognitivism”. This definition in terms of novel ideas and valuable products has been widely assumed by artificial intelligence (AI) and computational creativity (CC), and this has been backed up through a particular version of the Turing Test. In this, a machine can be said to be a creative artist if its products cannot be distinguished from human art. However, there is another psychological view of creativity, that of John Dewey, in which a lived experience of inquiry and focus is essential to being creative. In this theory, creativity is a function of the whole person interacting with the world, rather than originating in the brain. This makes creativity a Process rather than a Cognitivist framework. Of course, the brain is crucial in a Process theory, but as part of an open system which includes both body and environment. Developments in “machine art” have been seen as spectacular and are widely publicised. But there may be a danger that these will distract from what we take to be the most exciting prospect of all. This is the contribution of computer technology to stimulate, challenge, and provoke artistic practice of all forms.

Highlights

  • According to the call for papers for this Special Issue, the time has come when we can speak comfortably of the machine as artist

  • These ideas take place in the mind or brain, regarded as a closed system within whose workings the secret of creativity will eventually be revealed. This is the framework of what is widely referred to as “cognitivism”. This definition in terms of novel ideas and valuable products has been widely assumed by artificial intelligence (AI) and computational creativity (CC), and this has been backed up through a particular version of the Turing Test

  • In the biographies of artists, much is made of this. As they do in most human activities, but it is the life and the artistic and cultural context of the artist that are distinctive in understanding the genesis of artistic work. This we take to be the view of John Dewey, and in this paper, we explore the implications of taking a Deweyan view to the idea of the machine as an artist

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Summary

Introduction

According to the call for papers for this Special Issue, the time has come when we can speak comfortably of the machine as artist This reflects a measure of the great successes in over 60 years of work on creativity in artificial intelligence (AI) and psychology. In these disciplines, the issue of creativity in the arts, science, and everyday life has been a dominant theme since 1950, and it has been widely accepted that the essence of creativity has to do with having novel ideas in the mind or brain, which give rise to creative products. We end with a discussion section and by outlining some systems which implement a Deweyan approach to using AI in the context of creativity

Creativity in Psychology and AI
Some Reservations about These Definitions
Dewey’s Creativity
Whitehead’s Creativity
Dewey’s Definition of Creativity
Dewey’s Brain
Discussion
A Deweyan Approach to the Design of AI Systems for Creativity
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