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Heroic versus Collaborative AI for the Arts

d'Inverno, Mark and McCormack, Jon. 2015. Heroic versus Collaborative AI for the Arts. In: Qiang Yang and Michael Wooldridge, eds. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015). Palo Alto, California: AAAI Press, pp. 2438-2444. ISBN 978-1-57735-738-4 [Book Section]

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Abstract or Description

This paper considers the kinds of AI systems we want involved in art and art practice. We explore this relationship from three perspectives: as artists interested in expanding and developing our own creative practice; as AI researchers interested in building new AI systems that contribute to the understanding and development of art and art practice; and as audience members interested in experiencing art. We examine the nature of both art practice and experiencing art to ask how AI can contribute. To do so, we review the history of work in intelligent agents which broadly speaking sits in two camps: autonomous agents (systems that can exhibit intelligent behaviour independently) in one, and multi-agent systems (systems which interact with other systems in communities of agents) in the other. In this context we consider the nature of the relationship between AI and Art and introduce two opposing concepts: that of “Heroic AI”, to describe the situation where the software takes on the role of the lone creative hero and “Collaborative AI” where the system supports, challenges and provokes the creative activity of humans. We then set out what we believe are the main challenges for AI research in understanding its potential relationship to art and art practice.

Item Type:

Book Section

Additional Information:

This research was supported by an Australian Research Council Discovery Projects grant DP1094064 and by the FP7 Practice and Performance Analysis Inspiring Social Education (STREP FP7- 318770).

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
July 2015Published

Item ID:

12795

Date Deposited:

18 Aug 2015 13:47

Last Modified:

09 Jul 2018 13:18

URI:

http://research.gold.ac.uk/id/eprint/12795

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