z-logo
open-access-imgOpen Access
Delete ‘Persons’, Insert ‘Information Processing Systems’: Art and the machinistic discourse of computationalism.
Author(s) -
Katsiaryna Suryna,
Rodrigo Guzman-Serrano
Publication year - 2018
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/evac18.36
Subject(s) - computational creativity , creativity , articulation (sociology) , exposition (narrative) , computer science , point (geometry) , field (mathematics) , creativity technique , production (economics) , epistemology , frame (networking) , sociology , cognitive science , aesthetics , artificial intelligence , psychology , art , mathematics , philosophy , literature , political science , social psychology , telecommunications , geometry , politics , pure mathematics , law , economics , macroeconomics
This paper focuses on explicit attempts at developing artificial intelligence in the production of art that generate outcomes similar to, or even technically superseding, the works of human artists. We aim at revealing the underlying discourses that equate art production with transformation of information, artists with input/output systems, and artistic creativity with an unlimited and autonomous generation of art-like outcomes. As a point of departure, we begin from an exposition of Margaret Boden’s account of creativity and proceed by examining different arguments to the effect that computers can be truly creative, primarily those offered by Boden (2004, 2010). We question what the assumptions, operative in the discourse on artificial or computational creativity, entail. AI-agents can produce creative outcomes because they implement our best models of creativity. By implementing these models, however, AI-agents evidence a particular understanding of what art is and what constitutes artistic production. This understanding does not fully conform to how contemporary artistic practices are perceived and valued. As a result, we argue, better models to frame artistic AI and computational creativity are needed to fully appreciate the developments in this field and their articulation within the existing art world.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom