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Who Gets Credit for AI-Generated Art?

The recent sale of an artificial intelligence (AI)-generated portrait for $432,000 at Christie's art auction has raised questions about how credit and responsibility should be allocated to individuals involved and how the anthropomorphic perception of the AI system contributed to the artwork�...

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Detalles Bibliográficos
Autores principales: Epstein, Ziv, Levine, Sydney, Rand, David G., Rahwan, Iyad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492988/
https://www.ncbi.nlm.nih.gov/pubmed/32920489
http://dx.doi.org/10.1016/j.isci.2020.101515
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author Epstein, Ziv
Levine, Sydney
Rand, David G.
Rahwan, Iyad
author_facet Epstein, Ziv
Levine, Sydney
Rand, David G.
Rahwan, Iyad
author_sort Epstein, Ziv
collection PubMed
description The recent sale of an artificial intelligence (AI)-generated portrait for $432,000 at Christie's art auction has raised questions about how credit and responsibility should be allocated to individuals involved and how the anthropomorphic perception of the AI system contributed to the artwork's success. Here, we identify natural heterogeneity in the extent to which different people perceive AI as anthropomorphic. We find that differences in the perception of AI anthropomorphicity are associated with different allocations of responsibility to the AI system and credit to different stakeholders involved in art production. We then show that perceptions of AI anthropomorphicity can be manipulated by changing the language used to talk about AI—as a tool versus agent—with consequences for artists and AI practitioners. Our findings shed light on what is at stake when we anthropomorphize AI systems and offer an empirical lens to reason about how to allocate credit and responsibility to human stakeholders.
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spelling pubmed-74929882020-09-24 Who Gets Credit for AI-Generated Art? Epstein, Ziv Levine, Sydney Rand, David G. Rahwan, Iyad iScience Article The recent sale of an artificial intelligence (AI)-generated portrait for $432,000 at Christie's art auction has raised questions about how credit and responsibility should be allocated to individuals involved and how the anthropomorphic perception of the AI system contributed to the artwork's success. Here, we identify natural heterogeneity in the extent to which different people perceive AI as anthropomorphic. We find that differences in the perception of AI anthropomorphicity are associated with different allocations of responsibility to the AI system and credit to different stakeholders involved in art production. We then show that perceptions of AI anthropomorphicity can be manipulated by changing the language used to talk about AI—as a tool versus agent—with consequences for artists and AI practitioners. Our findings shed light on what is at stake when we anthropomorphize AI systems and offer an empirical lens to reason about how to allocate credit and responsibility to human stakeholders. Elsevier 2020-08-29 /pmc/articles/PMC7492988/ /pubmed/32920489 http://dx.doi.org/10.1016/j.isci.2020.101515 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Epstein, Ziv
Levine, Sydney
Rand, David G.
Rahwan, Iyad
Who Gets Credit for AI-Generated Art?
title Who Gets Credit for AI-Generated Art?
title_full Who Gets Credit for AI-Generated Art?
title_fullStr Who Gets Credit for AI-Generated Art?
title_full_unstemmed Who Gets Credit for AI-Generated Art?
title_short Who Gets Credit for AI-Generated Art?
title_sort who gets credit for ai-generated art?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492988/
https://www.ncbi.nlm.nih.gov/pubmed/32920489
http://dx.doi.org/10.1016/j.isci.2020.101515
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