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dc.contributor.authorEpstein, Ziv
dc.contributor.authorLevine, Sydney
dc.contributor.authorRand, David Gertler
dc.contributor.authorRahwan, Iyad
dc.date.accessioned2021-03-26T19:55:19Z
dc.date.available2021-03-26T19:55:19Z
dc.date.issued2020-09
dc.date.submitted2020-08
dc.identifier.issn2589-0042
dc.identifier.urihttps://hdl.handle.net/1721.1/130248
dc.description.abstractThe 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.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.isci.2020.101515en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceElsevieren_US
dc.titleWho Gets Credit for AI-Generated Art?en_US
dc.typeArticleen_US
dc.identifier.citationEpstein, Ziv et al. "Who Gets Credit for AI-Generated Art?" iScience 23, 9 (September 2020): 101515 © 2020 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journaliScienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-03-16T13:31:52Z
dspace.orderedauthorsEpstein, Z; Levine, S; Rand, DG; Rahwan, Ien_US
dspace.date.submission2021-03-16T13:31:53Z
mit.journal.volume23en_US
mit.journal.issue9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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